caption stringlengths 0 6.77k | code stringlengths 99 1.67M | image imagewidth (px) 384 384 | pdf unknown | uri stringlengths 21 143 | origin stringclasses 11
values | date timestamp[us]date 2006-11-08 00:00:00 2023-09-26 14:45:35 |
|---|---|---|---|---|---|---|
An overview of the object extraction procedure used for the Relational Network experiments by Santoro et al. (2017), illustrating how to use individual pixels of a CNN representation as objects. | \documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows,decorations.pathmorphing,backgrounds,positioning}
\definecolor{echoreg}{HTML}{2cb1e1}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\usepackage{etoolbox}
\newtoggle{redraw}
\newtoggle{redraw2}
\tikzset{%... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzkgOCAwIFIvRjM1IDkgMCBSL0YzNCAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/PetarV-/TikZ/blob/master/RN%20object%20extraction | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A representation of a convolutional autoencoder (CAE) architecture, leveraging 3D cubes and redrawing to illustrate the differences in feature map sizes and counts. | \documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows,decorations.pathmorphing,backgrounds,positioning}
\definecolor{echoreg}{HTML}{2cb1e1}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\usepackage{etoolbox}
\newtoggle{redraw}
\newtoggle{redraw2}
\tikzset{%... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4yPDwvY2EgLjI+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjMzIDcgMCBSL0YyNCA4IDAgUi9GNDAgOSAwIFIvRjM5IDEwIDAgUj4+L1Byb2N... | https://github.com/PetarV-/TikZ/blob/master/Convolutional%20autoencoder | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A very simple example of the Burrows-Wheeler transform. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}[font=\tt]
\node (T) at (0, 0) {ACAACG};
\node[below=0.5mm of T] (c1) {$T$};
\node[align=center] (tbl1) at (2.7, 0) {\textcolor{red}{AACG}AC\\\textcolor{red}{ACAACG}\\\textcolor{red}{ACG}ACA\\\... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMjcgOCAwIFIvRjI0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/BWT | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A simple diagram of the fetch-decode-execute cycle. Illustrates combining several styles within a single node, as well as overriding a node's specified style.' | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows, positioning}
\tikzstyle{block} = [rectangle, draw, fill=blue!20,
text width=5em, text centered, rounded corners, minimum height=4em]
\tikzstyle{line} = [draw, -latex']
\definecolor{mygreen}{rgb}{0,0.6,0}
\definecolor{echodrk}{HTML}... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNCA3IDAgUi9GMjMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/Fetch-decode-execute%20cycle | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A generic overview of a graph convolution operation, highlighting the relevant information for deriving the next-level features for every node in the graph. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows,shapes}
\definecolor{mygreen}{rgb}{0,0.6,0}
\pgfdeclarelayer{background}
\pgfsetlayers{background,main}
\tikzstyle{vertex}=[circle,fill=black!25,minimum size=20pt,inner sep=0pt]
\tikzstyle{selected vertex} = [vertex, fill=red!24]
\tikzs... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjI5IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/Graph%20convolution | PetarV-/TikZ | 2016-07-18T16:24:31 | |
By using the axis environment, creating a figure for nicely visualising the process of sampling a real function is easily illustrated. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\begin{document}
\begin{tikzpicture}
\begin{axis}[
width=12.5cm, height=8cm,
xtick=\empty,
ytick=\empty,
xlabel={\large $t$},
ylabel={\large $x(t)$},
xmin=0, xmax=16,
ymin=-1.1, ymax=1.5,
xtick={1.365, 2.73, 4.095, 5.46},
... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyMyA3IDAgUi9GMjYgOCAwIFIvRjI1IDkgMCBSL0YyNyAxMCAwIFIvRjM2IDExIDAgUi9GMzMgMTIgMCBSPj4vUHJ... | https://github.com/PetarV-/TikZ/blob/master/Sampling | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A high-level sketch of a software emulator. Demonstrates some interesting node style macros. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{shapes, arrows}
\tikzstyle{block} = [rectangle, draw, fill=blue!20,
text width=5em, text centered, rounded corners, minimum height=4em]
\tikzstyle{block2} = [rectangle, draw, fill=blue!20,
text width=4em, text centered, rounded corners... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Emulator%20modules | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A visualisation of the gene expression process (transcription + translation). In retrospect, this involved a lot of manual positioning, and if I were to remake this I'd probably wrap the triplets in their own nodes. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{snakes}
\definecolor{mygreen}{HTML}{006400}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\definecolor{mygold}{HTML}{B8860B}
\definecolor{mynavy}{HTML}{000080}
\begin{document}
\begin{tikzpicture}
\node at (0,0) {\tt GTGCATCTGACTCCTGAGGAGTAG};
\nod... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC40PDwvQ0EgLjQ+Pi9wZ2ZAY2EwLjQ8PC9jYSAuND4+Pj4KZW5kb2JqCgoyIDAgb2JqCjw8Pj4KZW5kb2JqCgozIDAgb2JqCjw8L3BnZnByZ2JbL1BhdHRlcm4vRGV2aWNlUkdCXT4+CmVuZG9iagoKNCAwIG9iago8PC9Db2xvclNwYWNlIDMgMCBSL1BhdHRlcm4gMiAwIFIvRXh0R1N0YXRlIDEgMCBSL0ZvbnQ8PC9GMzMgNyAwIFIvRjI0IDggMCBSL0YzNCA5IDA... | https://github.com/PetarV-/TikZ/blob/master/Gene%20expression | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing an in-depth view at a single perceptron, along with its position within a larger-scale multilayer perceptron (~unrestricted feedforward neural network). | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\tikzstyle{inputNode}=[draw,circle,minimum size=10pt,inner sep=0pt]
\tikzstyle{stateTransition}=[-stealth, thick]
\begin{document}
\begin{tikzpicture}
\node[draw,circle,minimum size=25pt,inner sep=0pt] (x) at (0,0) {$\Sigma$ $\sig... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFIvRjIzIDkgMCBSL0YyNiAxMCAwIFIvRjE3IDExIDAgUj4+L1Byb2NTZXRbL1BERi9... | https://github.com/PetarV-/TikZ/blob/master/Multilayer%20perceptron | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An overview of the Relational Network architecture by Santoro et al. (2017), illustrating all the necessary elements, along with a wider object extraction and conditioning pipeline. | \documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\definecolor{camdrk}{RGB}{0,62,114}
\begin{document}
\begin{tikzpicture}
\node[rectangle, draw, thick, olivegreen, minimum width=5em, minimum height=5em... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC4yPDwvQ0EgLjI+Pi9wZ2ZAY2EwLjI8PC9jYSAuMj4+Pj4KZW5kb2JqCgoyIDAgb2JqCjw8Pj4KZW5kb2JqCgozIDAgb2JqCjw8L3BnZnByZ2JbL1BhdHRlcm4vRGV2aWNlUkdCXT4+CmVuZG9iagoKNCAwIG9iago8PC9Db2xvclNwYWNlIDMgMCBSL1BhdHRlcm4gMiAwIFIvRXh0R1N0YXRlIDEgMCBSL0ZvbnQ8PC9GMzAgNyAwIFIvRjMzIDggMCBSL0YyNyA5IDA... | https://github.com/PetarV-/TikZ/blob/master/Relational%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A simple and concise representation of the setup to a supervised learning problem. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, decorations.pathmorphing}
\begin{document}
\begin{tikzpicture}[node distance=1.5cm]
\node[rectangle, very thick, draw] (learning) {Learning algorithm, $L$};
\node[rectangle, very thick, draw, below = of learning] (inference) {Labe... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/Supervised%20learning%20setup | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A generic overview of a CNN-inspired graph classifier, demonstrating an interchange of convolutional and pooling layers. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{relsize}
\usepackage{bm}
\usetikzlibrary{positioning,decorations.pathmorphing}
\definecolor{mygreen}{rgb}{0,0.6,0}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\definecolor{camdrk}{RGB}{0,62,114}
\begin{document}
\begin{tikzpicture}
\node[circle, dra... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4zPDwvY2EgLjM+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjc3IDcgMCBSL0YyNCA4IDAgUi9GMzMgOSAwIFIvRjMwIDEwIDAgUi9GODQgMTE... | https://github.com/PetarV-/TikZ/blob/master/Hierarchical%20graph%20classifier | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A representation of a deep neural network as a stack of simple matrix operations and activation functions. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\tikzstyle{stateTransition}=[-stealth, thick]
\begin{document}
\begin{tikzpicture}
\node[rectangle, draw, minimum width=0.5cm,minimum height=2.5cm] (X) at (-2, 0) {$\vec{x}$};
\node[rectangle, draw, right=1.5em of X, text dep... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMzMgOCAwIFIvRjM0IDkgMCBSL0YzMCAxMCAwIFIvRjI0IDExIDAgUi9GMjMgMTIgMCBSPj4vUHJ... | https://github.com/PetarV-/TikZ/blob/master/LEGO%20Deep%20learning | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagrammatical representation of a multilayer network, along with its underlying adjacency tensor. Features prominent use of 3D projections via use of scope. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{amsmath}
\usetikzlibrary{decorations.pathmorphing, positioning}
\definecolor{echoreg}{HTML}{2cb1e1}
\definecolor{echodrk}{HTML}{0099cc}
\tikzstyle{mybox} = [text=black, very thick,
rectangle, rounded corners, inner sep=10pt, inner ysep=20pt]
\t... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhLjc1PDwvY2EgLjc1Pj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNSA3IDAgUi9GMjQgOCAwIFIvRjE3IDkgMCBSL0YyMyAxMCAwIFIvRjI5IDE... | https://github.com/PetarV-/TikZ/blob/master/Multilayer%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A representation of a two-layer deep belief network (DBN) architecture, created as a stack of restricted Boltzmann machines (RBMs). I have finally learnt how to foreach. :) | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, shapes}
\begin{document}
\begin{tikzpicture}
\node (1) [draw, minimum width=15em, minimum height=2em, very thick, rounded rectangle] {};
\node (l1) [left=0em of 1] {$\vec{x}$};
\node (2) [above=3.9em of 1, draw, fill=lightgra... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjMzIDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/Deep%20belief%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a potential intermediate state of execution for the asynchronous advantage actor-critic (A3C) reinforcement learning algorithm---right after Agent 1 concludes its ongoing rollout. It features usage of split rectangles to represent a (partially filled) queue data structure, as well as several inte... | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{amsmath}
\usepackage{amssymb}
\usetikzlibrary{positioning, decorations.pathmorphing, shapes}
\begin{document}
\begin{tikzpicture}
\node[rounded rectangle, draw, thick, align=center] (A1) {Agent 1\\$(\theta_1', \psi_1')$};
\node[rounded rectangle... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFIvRjI5IDkgMCBSL0YyMyAxMCAwIFIvRjI2IDExIDAgUi9GMzAgMTIgMCBSPj4vUHJ... | https://github.com/PetarV-/TikZ/blob/master/A3C%20execution | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Example of a Gaussian mixture hidden Markov model, with the state set S = {x, y, z}, and sub-output set O' = {a, b, c}. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\usetikzlibrary{automata, positioning}
\begin{document}
\begin{tikzpicture}[-stealth,very thick,node distance = 4cm,auto]
\node[state] (x) {$x$};
\node[state] (y) [above right of=x] {$y$};
\node[state] (z) [below right of=y] {$z$};
... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjQgOCAwIFIvRjI2IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/GMHMM | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram of a simple Hamiltonian graph, with its Hamiltonian cycle highlighted. Showcases the simplicity of using the tkz-graph package. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{tkz-graph}
\begin{document}
\begin{tikzpicture}[scale=0.8,every node/.style={scale=0.7},font=\tt]
\SetUpEdge[lw = 1.5pt,
color = red,
labelcolor = white]
\GraphInit[vstyle=Normal]
\SetGraphUnit{3}
\tikzset{VertexStyle/.appen... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Hamiltonian%20graph | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A simple representation of a cycle-consistent generative adversarial network (CycleGAN) architecture, abstracting away from the neural network architectures used in the generators and discriminators. Can be easily extended into an animated illustration of the training schedule for CycleGANs (by "sliding") the arrow int... | \documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, thick] (z) {$\vec{a}_{real}$};
\node[circle, draw, thick, right=5em of z] (x) {$\vec{b}_{fake}$};
\draw[-stealth, thick] (z) -- node[above] {$G_{AB}(\vec{a})$} node[below, a... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjI0IDkgMCBSL0YzMCAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/PetarV-/TikZ/blob/master/CycleGAN | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An illustration of the application of Deep Graph Infomax (DGI) to large-scale graph datasets (such as Reddit)---by way of subsampling, as is done by approaches such as GraphSAGE. Besides the usual colourful and decorative elements, here I have expressed node shifts using polar coordinates, to provide a faithful "radial... | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{calc,patterns,positioning,decorations.pathmorphing}
\definecolor{mygreen}{HTML}{006400}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\definecolor{echodrk}{HTML}{0099cc}
\begin{document}
\begin{tikzpicture}
\node[circle, fill=mymauve, draw=mymauve,... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDwvcGdmcGF0MyA0IDAgUj4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvVHlwZS9QYXR0ZXJuL1BhdHRlcm5UeXBlIDEvUGFpbnRUeXBlIDIvVGlsaW5nVHlwZSAxL0JCb3hbLS45OTYyOCAtLjk5NjI4IDMuOTg1MSAzLjk4NTFdL1hTdGVwIDIuOTg4ODMvWVN0ZXA... | https://github.com/PetarV-/TikZ/blob/master/Sparse%20DGI | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An overview of the generic form of the self-attention operation. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node (X1) {$\vec{e}_{1}$};
\node[rectangle, right= 0.5em of X1] (x_dots_1) {$\dots$};
\node[right=0.5em of x_dots_1] (Xj) {$\vec{e}_{j}$};
\node[rectangle, right= 1em of Xj] (x_dots_2) {... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC4yPDwvQ0EgLjI+Pi9wZ2ZAY2EwLjI8PC9jYSAuMj4+L3BnZkBDQTE8PC9DQSAxPj4vcGdmQGNhMTw8L2NhIDE+Pi9wZ2ZAQ0EwLjY8PC9DQSAuNj4+L3BnZkBjYTAuNjw8L2NhIC42Pj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3B... | https://github.com/PetarV-/TikZ/blob/master/Self-attention | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram demonstrating the effects of applying dropout with p = 0.5 to a deep multilayer perceptron. In retrospect, this could have been done much cleaner with for loops. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{bm}
\usepackage{relsize}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, thick] (i1) {};
\node[circle, draw, thick, above=2em of i1] (i2) {};
\node[circle, draw, thick, above=2em of i2] (i3) {};
\node[circl... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GNzcgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/Dropout | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A high-level overview of the Deep Graph Infomax (DGI) pipeline. The usual interplay featuring decorated arrows and carefully positioned containers. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning,decorations.pathmorphing}
\begin{document}
\begin{tikzpicture}
\node[circle, thick, draw] (0) {$\vec{x}_i$};
\node[circle, thick, draw, above right=0.1em and 3em of 0] (1) {};
\node[circle, thick, draw, above right=0.8em and 0.5em... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjE3IDkgMCBSL0YyNCAxMCAwIFIvRjMzIDExIDAgUi9GMzAgMTIgMCBSPj4vUHJ... | https://github.com/PetarV-/TikZ/blob/master/Deep%20Graph%20Infomax | PetarV-/TikZ | 2016-07-18T16:24:31 | |
In-depth view into how GameBoy VRAM entries are converted into tile colours via a palette translation. Another showcase of matrix-node integration. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, matrix}
\tikzset{
tablet/.style={
matrix of nodes,
row sep=-\pgflinewidth,
column sep=-\pgflinewidth,
nodes={rectangle,draw=black,text width=1.25ex,align=center},
text height=1.25ex,
nodes in empty cells
},
texto/.st... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMjQgOCAwIFIvRjM0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/GameBoy%20palette%20translation | PetarV-/TikZ | 2016-07-18T16:24:31 | |
In the original usage, this graph was used as a starting point for a PageRank example. In reality it's just a plain digraph, demonstrating some useful practices when building a graph in TikZ without using tkz-graph. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, thick, draw] (0) {$d_0$};
\node[circle, thick, draw, below = 4.5em of 0] (1) {$d_1$};
\node[circle, thick, draw, right = 4.5em of 0] (2) {$d_2$};
\node[circle, thick, draw, righ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/Web%20graph | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A simple sketch illustrating the benefits of incorporating unlabelled data to the supervised learning process. Can be easily presented as an animation as well. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\draw[ultra thick, lightgray, dashed] (5.5, 2) -- (5.5, -2);
\node[circle,inner sep=0.3em,fill=red,very thick] (X) at (4.5, 0.5) {};
\node[circle,inner sep=0.3em,fill=gray,very thick] (Y) at... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvUHJvY1NldFsvUERGXT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGVudHMgNiAwIFIvUmVzb3VyY2VzIDQgMCB... | https://github.com/PetarV-/TikZ/blob/master/Semi-supervised%20learning | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a single LSTM block, in the context of recurrent neural networks. Admittedly, it took quite a while to decide on how to position everything in order to make the dataflow as intuitive as possible. It might not be ideal - suggestions are welcome! | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[rectangle, draw, minimum width=2.2cm, minimum height=1cm] (FT) {\emph{new fts.}};
\node[rectangle, above =0em of FT, draw, minimum width=2.2cm] (IG) {\emph{input gate}};
\node[rectan... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMjcgOCAwIFIvRjI2IDkgMCBSL0YyOSAxMCAwIFIvRjIzIDExIDAgUi9GMzAgMTIgMCBSL0YyNCA... | https://github.com/PetarV-/TikZ/blob/master/Long%20short-term%20memory | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing the result of a simple greedy algorithm on top of a parameterised policy, in the context of a trivial grid environment for reinforcement learning. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{xcolor}
\usetikzlibrary{positioning, decorations.pathmorphing}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\begin{document}
\begin{tikzpicture}
\node[rectangle, minimum width=5em, minimum height=5em, fill=light... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0Y1MCA3IDAgUi9GMjcgOCAwIFIvRjIzIDkgMCBSL0YyNCAxMCAwIFIvRjQxIDExIDAgUi9GMjYgMTIgMCBSL0YzMCA... | https://github.com/PetarV-/TikZ/blob/master/Reinforcement%20learning%20greedy%20policy | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An overview of the most common workflows within a git repository and between repositories. Features a novel type of decorated closed loop, dubbed a portal. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{decorations.pathmorphing}
\definecolor{bluport}{HTML}{21ADFD}
\definecolor{orgport}{HTML}{E37322}
\definecolor{pplport}{HTML}{4F21E9}
\definecolor{redport}{HTML}{701315}
\begin{document}
\begin{tikzpicture}
\draw[thick, bluport] (0, 0) ellipse... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMjQgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/git%20workflow | PetarV-/TikZ | 2016-07-18T16:24:31 | |
This diagram represents all the variables (known or previously computed) related in determining the probability of taking a transition i -> j at time t within a hidden Markov model (HMM); this is one of the initial estimation steps of the Baum-Welch algorithm. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\begin{document}
\begin{tikzpicture}
% 1st column
\node at (0,6.5) {$t-1$};
\node[align=center, circle, draw, thick] (s1_1) at (0,5) {$s_1$\\{\scriptsize$\alpha_{t-1}(s_1)$}};
\node[align=center, circle, draw, thick] (s2_1) at (0,3) {$s_2$\\{\scriptsize$\al... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMzAgOCAwIFIvRjI0IDkgMCBSL0YyMyAxMCAwIFIvRjI2IDExIDAgUi9GMjUgMTIgMCBSL0YyOCA... | https://github.com/PetarV-/TikZ/blob/master/HMM%20transition%20smoothing | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An overview of the Message passing neural network architecture by Gilmer et al. (2017), illustrating the elements involved in computing the next-level features of a given node in a graph, along with the relevant neural network modules. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\definecolor{echodrk}{HTML}{0099cc}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\definecolor{camdrk}{RGB}{0,62,114}
\begin{document}
\begin{tikzpicture}
\node[circle, gray, draw, very thick] (1) {$\vec{h}^\ell_1$};
\node[circle, echod... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjIzIDkgMCBSL0YyOSAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/PetarV-/TikZ/blob/master/Message%20passing%20neural%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a recurrent neural network consisting of several LSTM blocks, processing the input sequence simultaneously forwards and backwards (to exploit both directions of temporal dependence). Contains some rather tight manoeuvering. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[rectangle] (Y0) at (0, 0) {$\dots$};
\node[rectangle, draw, right=2em of Y0, minimum height=1cm, minimum width=1cm] (RNN) {LSTM$_\rightarrow$};
\node[rectangle, right=of RNN, draw, minim... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjQgOCAwIFIvRjI5IDkgMCBSL0YyMyAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/PetarV-/TikZ/blob/master/Bidirectional%20long%20short-term%20memory | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Another in a series of uses of tkz-graph, this graphic displays a weighted digraph without negative-weight cycles, and a highlighted shortest path. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{tkz-graph}
\begin{document}
\begin{tikzpicture}[scale=0.8,every node/.style={scale=0.7},font=\tt]
\SetUpEdge[ lw = 0.75pt,
color = red,
labelcolor = white]
\GraphInit[vstyle=Normal]
\SetGraphUnit{2}
\tikzset{VertexStyle/.app... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Shortest%20path%20problem | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Diagram for the frame-rendering algorithm of a CRT display. Sports some clever maneuvering and bending of arrows corresponding to HBlank and VBlank. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}[node distance=4cm, auto]
\node (00) {};
\node [right of=00] (l1) {Line 1};
\node [right of=l1] (01) {};
\draw[-stealth, very thick] (00) -- (l1) -- (01);
\node [below =1cm of 00] (10) {};
\... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/CRT%20rendering | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A representation of a denoising variational autoencoder (VAE), drawn using careful draw ordering, decorated arrows, and appropriate node labels. Arguably, one of my favourite sketches in this repository. | \documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows,decorations.pathmorphing,positioning}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\begin{document}
\begin{tikzpicture}
\node (1) [draw, dashed, minimum height=15em, minimum width=15em, xshift=6.5em, fill=olivegreen, fill opacity=0.2, very th... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4yPDwvY2EgLjI+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjMzIDcgMCBSL0YzMCA4IDAgUi9GMjcgOSAwIFIvRjI5IDEwIDAgUj4+L1Byb2N... | https://github.com/PetarV-/TikZ/blob/master/Variational%20denoising%20autoencoder | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a single graph attentional (GAT) layer, illustrating the multi-head self-attention mechanism of a node over its direct neighbours, by way of multiple arrows (with multiple decorations :)). | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\definecolor{mygreen}{rgb}{0,0.6,0}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\usetikzlibrary{arrows,shapes, decorations.pathmorphing,backgrounds,positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, thick] (h1) {$\vec{h}_1$};
\node[circle, d... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC44PDwvQ0EgLjg+Pi9wZ2ZAY2EwLjg8PC9jYSAuOD4+L3BnZkBDQTAuNTw8L0NBIC41Pj4vcGdmQGNhMC41PDwvY2EgLjU+Pi9wZ2ZAQ0ExLjA8PC9DQSAxPj4vcGdmQGNhMS4wPDwvY2EgMT4+Pj4KZW5kb2JqCgoyIDAgb2JqCjw8Pj4KZW5kb2JqCgozIDAgb2JqCjw8L3BnZnByZ2JbL1BhdHRlcm4vRGV2aWNlUkdCXT4+CmVuZG9iagoKNCAwIG9iago8PC9Db2x... | https://github.com/PetarV-/TikZ/blob/master/GAT%20layer | PetarV-/TikZ | 2016-07-18T16:24:31 | |
This figure is automatically generated. It illustrates the state of an input graph after three iterations of the Markov clustering (MCL) algorithm---after which the three clusters are already distinguished. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\definecolor{mygreen}{HTML}{006400}
\begin{document}
\begin{tikzpicture}[node distance=2.8em]
\node[circle, thick, fill=red, draw] (0) {};
\node[circle, thick, below left=of 0, fill=red, draw] (1) {};
\node[circle, t... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC4wMjw8L0NBIC4wMj4+L3BnZkBjYTAuMDI8PC9jYSAuMDI+Pi9wZ2ZAQ0EwLjMwPDwvQ0EgLjM+Pi9wZ2ZAY2EwLjMwPDwvY2EgLjM+Pi9wZ2ZAQ0EwLjA3PDwvQ0EgLjA3Pj4vcGdmQGNhMC4wNzw8L2NhIC4wNz4+L3BnZkBDQTAuNTM8PC9DQSAuNTM+Pi9wZ2ZAY2EwLjUzPDwvY2EgLjUzPj4vcGdmQENBMC4wNTw8L0NBIC4wNT4+L3BnZkBjYTAuMDU8PC9jYSA... | https://github.com/PetarV-/TikZ/blob/master/MCL | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram of a de Bruijn graph (in the context of genome reconstruction), with its Eulerian cycle highlighted. Showcases once again the simplicity of using the tkz-graph package, as well as some rather tight maneuvering around the nodes. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{tkz-graph}
\begin{document}
\begin{tikzpicture}[scale=0.8,every node/.style={scale=0.7},font=\tt]
\SetUpEdge[lw = 1.5pt,
color = black,
labelcolor = white]
\GraphInit[vstyle=Normal]
\SetGraphUnit{2.5}
\tikzset{VertexStyle/.a... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/de%20Bruijn%20graph | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A representation of a multiplex network's underlying graph, featuring usage of edge decorations and careful maneuvering. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, decorations.pathmorphing}
\definecolor{mygreen}{rgb}{0,0.6,0}
\definecolor{echodrk}{HTML}{0099cc}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, very thick, fill=echodrk] (11) {};
\node[below = 0.5em of 11] (11c) {$({\b... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzMgOCAwIFIvRjI3IDkgMCBSL0YyMyAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/PetarV-/TikZ/blob/master/Multiplex%20network%20underlying%20graph | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a deep convolutional neural network with 1x3 à trous convolutions (with exponentially increasing dilation factors), illustrating its ability to capture long-range temporal dependencies without resorting to recurrent connections. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, fill, inner sep=0.2em] (s1) {};
\node[circle, below=1em of s1, fill, inner sep=0.2em] (s2) {};
\node[circle, below=1em of s2, fill, inner sep=0.2em] (s3) {};
\node[circle, belo... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/%C3%80%20trous%20convolutions | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A schematic of the wiring within GameBoy's JOYP register, used for recording user input. Features some tight positioning along with matrices. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{bm}
\usetikzlibrary{positioning, matrix}
\tikzset{
tablet/.style={
matrix of nodes,
row sep=-\pgflinewidth,
column sep=-\pgflinewidth,
nodes={rectangle,draw=black,text width=1.25ex,align=center},
text height=1.25ex,
text depth=0ex,
n... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMzQgOCAwIFIvRjM1IDkgMCBSL0YzNyAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/PetarV-/TikZ/blob/master/GameBoy%20joypad%20register | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Combining the braids package with a custom macro to produce a neat visualisation of the DNA molecule. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{braids}
\newcommand{\bond}[3]{
\draw[very thick, #1] (#3, 0) -- (#3, 0.35);
\draw[very thick, densely dotted] (#3, 0.35) -- (#3, 0.65);
\draw[very thick, #2] (#3, 0.65) -- (#3, 1);
}
\begin{document}
\begin{tikzpicture}
\bond{red}{blue}{0.1}
\bond... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvUHJvY1NldFsvUERGXT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGVudHMgNiAwIFIvUmVzb3VyY2VzIDQgMCB... | https://github.com/PetarV-/TikZ/blob/master/DNA | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A simple representation of a generative adversarial network (GAN) architecture, abstracting away from the neural network architectures used in the generator and discriminator. Can be easily extended into an animated illustration of the training schedule for GANs (by "sliding") the arrow into one of the two locked posit... | \documentclass[crop,tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, thick] (z) {$\vec{z}$};
\node[circle, draw, thick, right=5em of z] (x) {$\vec{x}_{fake}$};
\draw[-stealth, thick] (z) -- node[above] {$G(\vec{z})$} node[below] {generator} ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjI0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/Generative%20adversarial%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing the semi-supervised embedding architecture, by Weston et al.. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{calc,decorations.pathmorphing,positioning}
\begin{document}
\begin{tikzpicture}
\node[very thick, densely dashed, draw=black,rectangle, minimum height=3.5em, minimum width=1.5em, xshift=15em, yshift=-1em, fill=lightgray] (rekt1) {};
\node... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjI0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/Semi-supervised%20embedding | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An in-depth view of a 1D-2D cross-connection, (such as the one used by the XFlow) publication. Illustrates a reshape-deconvolution operation taking the 1D data to a 2D feature map, and a flatten-dense operation taking the 2D feature map to flat 1D features. The graphic leverages strategically positioned circles to give... | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, fill=gray!40] (a11) at (0.8, 0.8) {};
\node[circle, draw, fill=gray!40] (a12) at (0.7, 0.7) {};
\node[circle, draw, fill=gray!40] (a13) at (0.6, 0.6) {};
\node[circle, dra... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvUHJvY1NldFsvUERGXT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGVudHMgNiAwIFIvUmVzb3VyY2VzIDQgMCB... | https://github.com/PetarV-/TikZ/blob/master/1D-2D%20cross-connection | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Starting to sound like a broken record here... tkz-graph is awesome. Here utilised to illustrate a solution to the maximum flow problem in a digraph with edge capacities. The edges are coloured according to the ratio of the sent flow to its capacity. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{tkz-graph}
\begin{document}
\begin{tikzpicture}[scale=0.8,every node/.style={scale=0.7},font=\tt]
\SetUpEdge[lw = 0.75pt,
color = red,
labelcolor = white]
\GraphInit[vstyle=Normal]
\SetGraphUnit{2}
\tikzset{VertexStyle/.append... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Maximum%20flow%20problem | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An in-depth view of a convolutional cross-connection, as used in the original X-CNN publication. Features extensive nodes built up using "cascaded" slices, to represent the feature maps within CNNs---heavily relies on the shadow parameter. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows,decorations.pathmorphing,backgrounds,positioning,fit,petri, decorations.pathreplacing,shadows,calc}
\definecolor{echoreg}{HTML}{2cb1e1}
\definecolor{sublimedg}{HTML}{171813}
\definecolor{lgry}{HTML}{aaaaaa}
\definecolor{mymauve}{rgb}{0.58... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC41PDwvY2EgLjU+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvVHlwZS9YT2JqZWN0L1N1YnR5cGUvRm9ybS9CQm94WzAgMCAxMDAgMTAwXS9Gb3JtVHlwZSAxL01hdHJpeFsxIDAgMCAxIDAgMF0vUmVzb3VyY2VzIDUgMCBSL0xlbmd0aCAxNS9... | https://github.com/PetarV-/TikZ/blob/master/Convolutional%20cross-connection | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Illustration of a progressive DNA sequence alignment algorithm, for a given guide tree. Emphasises the ease of drawing such simple trees in TikZ. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\begin{document}
\begin{tikzpicture}[font=\tt\scriptsize, grow=up, level 1/.style={sibling distance=30mm}, level 2/.style={sibling distance=20mm}]
\node[align=center](0){AC{-}{-}A\\CC{-}{-}A\\ACG-A\\A-GTA\\A-G-A}
child{node[align=center]{AGTA\\AG-A}
child{... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNCA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Progressive%20alignment | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Illustration of the network dynamics of an epidemics-awareness model, akin to Granell et al. (2014). Nodes take part in both the epidemics layer (SIS + vaccinated) and the awareness layer (UAU). This, in my opinion, represents one of the "cleaner" ways to draw multiplex networks in TikZ, making heavy use of scopes and ... | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, decorations.pathmorphing}
\definecolor{mynavy}{HTML}{000080}
\definecolor{darkred}{HTML}{8B0000}
\definecolor{mygreen}{HTML}{006400}
\definecolor{mygold}{HTML}{B8860B}
\newcommand{\myGlobalTransformation}[2]
{
\pgftransformcm{1... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMS4wPDwvQ0EgMT4+L3BnZkBjYTEuMDw8L2NhIDE+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjI3IDcgMCBSL0YyNCA4IDAgUi9GMzQgOSAwIFI... | https://github.com/PetarV-/TikZ/blob/master/Multiplex%20epidemics-awareness%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A visualisation of a very common diagram used to represent the transformation between Cartesian and polar coordinates in 2D. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{calc}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\begin{document}
\begin{tikzpicture}[scale=0.85]
% Axis
\draw[thick,-stealth,black] (-3,0)--(3,0) coordinate (A) node[below] {$x$}; % x axis
\draw[thick,-stealth,black] (0,-3)--(0,3) node[left] {$... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Coordinate%20systems | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A schematic of a single instruction being fetched, decoded and executed on the GameBoy's CPU. Features prominent use of scopes and custom coordinates. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, matrix, backgrounds}
\tikzstyle{block} = [rectangle, draw, fill=blue!20,
text width=5em, text centered, rounded corners, minimum height=4em]
\definecolor{mygreen}{rgb}{0,0.6,0}
\definecolor{echodrk}{HTML}{0099cc}
\begin{docum... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMDw8L0NBIDA+Pi9wZ2ZAY2EwPDwvY2EgMD4+L3BnZkBDQTEuMDw8L0NBIDE+Pi9wZ2ZAY2ExLjA8PC9jYSAxPj4vcGdmQENBMC4wPDwvQ0EgMD4+L3BnZkBjYTAuMDw8L2NhIDA+Pi9wZ2ZAQ0EwLjU8PC9DQSAuNT4+L3BnZkBjYTAuNTw8L2NhIC41Pj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZ... | https://github.com/PetarV-/TikZ/blob/master/Instruction%20execution | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram expressing a two-dimensional convolutional operator as an operation of sliding the kernel matrix across the target image and recording elementwise products. Makes heavy use of the matrix environment in TikZ. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{matrix, positioning}
\begin{document}
\begin{tikzpicture}
\matrix (mtr) [matrix of nodes,row sep=-\pgflinewidth, nodes={draw}]
{
0 & 1 & 1 & |[fill=red!30]| 1 & |[fill=red!30]| 0 & |[fill=red!30]| 0 & 0\\
0 & 0 & 1 & |[fill=red!30]| 1 & |... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzMgOCAwIFIvRjMwIDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/2D%20Convolution | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A simple illustration of a policy and value network as is commonly utilised by the asynchronous advantage actor-critic (A3C) algorithm for reinforcement learning. Features carefully positioned paths for highlighting the shared parameters of the networks. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{amsmath}
\usepackage{amssymb}
\usepackage{xcolor}
\usetikzlibrary{positioning, decorations.pathmorphing}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\begin{document}
\begin{tikzpicture}
\path[rounded corners, fill=blue, fill opacity=0.2] (-0.4, 3.5) -... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4yPDwvY2EgLjI+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjI3IDcgMCBSL0YyNiA4IDAgUi9GMjQgOSAwIFIvRjIzIDEwIDAgUj4+L1Byb2N... | https://github.com/PetarV-/TikZ/blob/master/A3C%20neural%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a cross-modal convolutional neural network (X-CNN) architecture. Features extensive use of three-dimensional cube nodes, with appropriate arrow positioning, redrawing and clipping. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{arrows,decorations.pathmorphing,backgrounds,positioning,fit,petri, decorations.pathreplacing,shadows,calc}
\definecolor{echoreg}{HTML}{2cb1e1}
\definecolor{mymauve}{rgb}{0.58,0,0.82}
\usepackage{etoolbox}
\newtoggle{redraw}
\newtoggle{redraw2}... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvWE9iamVjdC9TdWJ0eXBlL0Zvcm0vQkJveFswIDAgMTAwIDEwMF0vRm9ybVR5cGUgMS9NYXRyaXhbMSAwIDAgMSAwIDBdL1Jlc291cmNlcyA1IDAgUi9MZW5ndGggMTUvRmlsdGVyL0ZsYXRlRGVjb2RlPj4... | https://github.com/PetarV-/TikZ/blob/master/X-CNN | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An overview of all the possible flows of data within a single git repository. Features a novel type of decorated closed loop, dubbed a portal. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{decorations.pathmorphing}
\definecolor{bluport}{HTML}{21ADFD}
\definecolor{orgport}{HTML}{E37322}
\definecolor{pplport}{HTML}{4F21E9}
\definecolor{redport}{HTML}{701315}
\begin{document}
\begin{tikzpicture}
\fill[pplport!15] (0, 0) ellipse (0... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMzUgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/git%20dataflow | PetarV-/TikZ | 2016-07-18T16:24:31 | |
The full training and testing pipeline of the muxstep library. Probably the most complex TikZ figure I have created thus far; lots of fine-tuned positioning combined with scoping and decorations. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{amsmath}
\usepackage{amssymb}
\usetikzlibrary{decorations.pathmorphing, positioning}
\definecolor{echodrk}{HTML}{0099cc}
\newcommand{\argmax}{\operatornamewithlimits{argmax}}
\begin{document}
\begin{tikzpicture}[node distance=2.5cm]
\draw[-, das... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNCA3IDAgUi9GMjcgOCAwIFIvRjI0IDkgMCBSL0YzMCAxMCAwIFIvRjIzIDExIDAgUi9GNDAgMTIgMCBSL0YyNiA... | https://github.com/PetarV-/TikZ/blob/master/muxstep%20pipeline | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A high-level circuit diagram for IQ sampling. It features prominent use of "TikZ within TikZ", with usage of axis as well, primarily with the purpose of sketching symbols for some of the components (e.g. the low-pass filters). | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\begin{document}
\begin{tikzpicture}[cross/.style={path picture={
\draw[black] (path picture bounding box.south east) -- (path picture bounding box.north west) (path picture bounding box.south west) -- (path picture bounding box.north eas... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjQgOCAwIFIvRjMwIDkgMCBSL0YyOSAxMCAwIFIvRjI2IDExIDAgUj4+L1Byb2NTZXRbL1BERi9... | https://github.com/PetarV-/TikZ/blob/master/IQ%20sampling | PetarV-/TikZ | 2016-07-18T16:24:31 | |
The beta version of the example of a multiplex chain Gaussian mixture hidden Markov model. While it wasn't retained for an official publication, it demonstrates interesting and difficult aspects of tightly integrating TikZ with axis. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\usepackage{amsbsy}
\usetikzlibrary{automata, chains, decorations.pathmorphing, positioning}
\definecolor{echodrk}{HTML}{0099cc}
\pgfmathdeclarefunction{gauss}{2}{%
\pgfmathparse{1/(#2*sqrt(2*pi))*exp(-((x-#1)^2)/(2*#2^2))}%
}
\begin{d... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjI0IDkgMCBSL0YyNiAxMCAwIFIvRjQyIDExIDAgUi9GMzQgMTIgMCBSL0Y0OCA... | https://github.com/PetarV-/TikZ/blob/master/Multiplex%20chain%20GMHMM%20%28beta%29 | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Example of a multiplex chain Gaussian mixture hidden Markov model. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\usepackage{amsbsy}
\usetikzlibrary{automata, chains, decorations.pathmorphing, positioning}
\definecolor{echodrk}{HTML}{0099cc}
\begin{document}
\begin{tikzpicture} [scale=1.3, every node/.style={transform shape},start chain=1 going righ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjI0IDkgMCBSL0YyNiAxMCAwIFIvRjQyIDExIDAgUi9GMzQgMTIgMCBSL0Y0OCA... | https://github.com/PetarV-/TikZ/blob/master/Multiplex%20chain%20GMHMM | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An in-depth view of a fully-connected cross-connection, as used by Bica et al. (ESANN 2018). Features a scope transformation to allow independently developing the nodes in both streams, then seamlessly connecting them with the cross-connecting edges when necessary. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{decorations.pathmorphing,positioning}
\definecolor{mynavy}{HTML}{000080}
\definecolor{darkred}{HTML}{8B0000}
\newcommand{\myGlobalTransformation}[2]
{
\pgftransformcm{1}{0}{0.5}{0.25}{\pgfpoint{#1cm}{#2cm}}
}
\tikzstyle myBG=[line width=3p... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNCA3IDAgUi9GMzAgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/Fully-connected%20cross-connection | PetarV-/TikZ | 2016-07-18T16:24:31 | |
An overview of the manner in which the GameBoy background frame is constructed. Features significant integration of matrices and nodes. While it could have been implemented far cleaner, I hope it still could prove useful. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{positioning, matrix}
\tikzset{
table/.style={
matrix of nodes,
row sep=-\pgflinewidth,
column sep=-\pgflinewidth,
nodes={rectangle,draw=black,text width=0.05ex,align=center},
nodes in empty cells
},
texto/.style={font=\footnotesize... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/PetarV-/TikZ/blob/master/GameBoy%20tiling%20system | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing the progressive neural network architecture, by Rusu et al., with particular emphasis on the lateral connections. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usetikzlibrary{decorations.pathmorphing,positioning}
\begin{document}
\begin{tikzpicture}
\node[circle, draw, thick, fill=green!60] (i1) {};
\node[circle, draw, thick, fill=green!60, right=2em of i1] (i2) {};
\node[circle, draw, thick, fill=green!60, right=... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/PetarV-/TikZ/blob/master/Progressive%20neural%20network | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Graphical derivation and explanation of an amplitude modulated signal. Makes extensive use of the axis environment. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\begin{document}
\begin{tikzpicture}[samples=1000, domain=0:10*pi]
\begin{axis}[
width=11cm, height=3.5cm,
xtick=\empty,
ytick=\empty,
xlabel={\large $t$},
ylabel={\large $x(t)$},
xmin=0, xmax=11*pi,
ymin=-0.5, ymax=7.5,
a... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNiA3IDAgUi9GMzMgOCAwIFIvRjI0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/Amplitude%20modulation | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Graphical derivation and explanation of a frequency modulated signal. Makes extensive use of the axis environment. | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{pgfplots}
\definecolor{olivegreen}{rgb}{0,0.6,0}
\begin{document}
\begin{tikzpicture}[samples=1000, domain=0:10]
\begin{axis}[
width=11cm, height=3.5cm,
xtick=\empty,
ytick=\empty,
xlabel={\large $t$},
ylabel={\large $x(t)$},
xmin=0, x... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNiA3IDAgUi9GMzMgOCAwIFIvRjI0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/PetarV-/TikZ/blob/master/Frequency%20modulation | PetarV-/TikZ | 2016-07-18T16:24:31 | |
A diagram representing a cross-modal long-short term memory (X-LSTM) architecture, in a hierarchical fashion (starting with a single LSTM cell, representing it as a component of a single unrolled LSTM block, then representing a cross-modal variant as the interchange of LSTM blocks on multimodal sequences). Features car... | \documentclass[crop, tikz]{standalone}
\usepackage{tikz}
\usepackage{bm}
\usepackage{relsize}
\usepackage{pgfplots}
\usetikzlibrary{arrows,shapes, decorations.pathmorphing,backgrounds,positioning}
\begin{document}
\begin{tikzpicture}
\node[rectangle, rounded corners=10, minimum width=20em, minimum height=12em, dra... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC41PDwvQ0EgLjU+Pi9wZ2ZAY2EwLjU8PC9jYSAuNT4+Pj4KZW5kb2JqCgoyIDAgb2JqCjw8Pj4KZW5kb2JqCgozIDAgb2JqCjw8L3BnZnByZ2JbL1BhdHRlcm4vRGV2aWNlUkdCXT4+CmVuZG9iagoKNCAwIG9iago8PC9UeXBlL1hPYmplY3QvU3VidHlwZS9Gb3JtL0dyb3VwPDwvUy9UcmFuc3BhcmVuY3kvSSB0cnVlL0sgZmFsc2U+Pi9CQm94WzAgMCAzMjcuMjc... | https://github.com/PetarV-/TikZ/blob/master/X-LSTM | PetarV-/TikZ | 2016-07-18T16:24:31 | |
Feynman 4 | \documentclass[tikz]{standalone}
\usetikzlibrary{patterns}
\begin{document}
\begin{tikzpicture}[rotate=45]
\draw (-2,0) node[left] {$\varphi_a$} -- (2,0) node[right] {$\varphi_c$} (0,2) node[above] {$\varphi_b$} -- (0,-2) node[below] {$\varphi_d$};
\draw[->,yshift=5pt] (-1.7,0) -- (-0.7,0) node[midway,above] {$p_... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDwvcGdmcGF0MyA0IDAgUj4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvVHlwZS9QYXR0ZXJuL1BhdHRlcm5UeXBlIDEvUGFpbnRUeXBlIDIvVGlsaW5nVHlwZSAxL0JCb3hbLS45OTYyOCAtLjk5NjI4IDMuOTg1MSAzLjk4NTFdL1hTdGVwIDIuOTg4ODMvWVN0ZXA... | https://github.com/janosh/tikz/blob/main/assets/feynman-4 | janosh/tikz | 2020-08-09T11:07:39 | |
Equivalence of thermodynamic ensembles through Laplace and Legendre transforms. | \documentclass[tikz]{standalone}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}[trafo/.style={midway,font=\tiny}]
\def\hd{2}\def\vd{0.5}
\node (Zm) at (0,0) {$Z_m(E)$};
\node[right=\hd of Zm] (Zc) {$Z_c(\beta)$};
\node[right=\hd of Zc] (Zg) {$Z_g(\mu)$};
\node[below=\vd of Zm] (Sm) {$\... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjI0IDkgMCBSL0YyNSAxMCAwIFIvRjIzIDExIDAgUi9GMjIgMTIgMCBSPj4vUHJ... | https://github.com/janosh/tikz/blob/main/assets/transformations | janosh/tikz | 2020-08-09T11:07:39 | |
Torus Fundamental Domain | \documentclass[tikz,svgnames]{standalone}
\usetikzlibrary{backgrounds}
\begin{document}
\begin{tikzpicture}[scale=3]
\def\xmin{-1} \def\xmax{1}
\def\ymin{-0.1} \def\ymax{2}
\draw [thick,->] (\xmin,0) -- (\xmax,0);
\draw [thick,->] (0,\ymin) -- (0,\ymax);
\draw [thick] (-0.5,-0.02) -- (-0.5,0.02) node [be... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC4zPDwvQ0EgLjM+Pi9wZ2ZAY2EwLjM8PC9jYSAuMz4+L3BnZkBDQTAuNjw8L0NBIC42Pj4vcGdmQGNhMC42PDwvY2EgLjY+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSA... | https://github.com/janosh/tikz/blob/main/assets/torus-fundamental-domain | janosh/tikz | 2020-08-09T11:07:39 | |
2D toy crystal with three occupied Wyckoff positions. The shaded areas illustrate the region of the unit cell the relevant atoms are constrained to lie in by specifying an anonymized Wyckoff position for that atom. Reproduction of fig. 2 from "Wyckoff Set Regression for Materials Discovery" by Rhys Goodall, inspired by... | \documentclass[tikz]{standalone}
\begin{document}
\begin{tikzpicture}[thick]
\def\r{5}
\fill[teal!60] (\r,-\r) -- (0,0) -- (\r,0) -- cycle;
\fill[yellow!60] (\r,-\r) -- (0,0) -- (0,-0.\r) -- (4.\r,-\r) -- cycle;
\fill[red!60] (0,0) rectangle (\r,0.3\r);
\draw (-\r,-\r) rectangle (\r,\r);
\draw[dashed] (-\r... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvUHJvY1NldFsvUERGXT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGVudHMgNiAwIFIvUmVzb3VyY2VzIDQgMCB... | https://github.com/janosh/tikz/blob/main/assets/wyckoff-positions | janosh/tikz | 2020-08-09T11:07:39 | |
Posted as an answer to <https://tex.stackexchange.com/q/44868>. | \documentclass[tikz]{standalone}
\begin{document}
\begin{tikzpicture}[scale=0.6]
\foreach \y [count=\n] in {
{74,25,39,20,3,3,3,3,3},
{25,53,31,17,7,7,2,3,2},
{39,31,37,24,3,3,3,3,3},
{20,17,24,37,2,2,6,5,5},
{3,7,3,2,12,1,0,0,0},
{3,7,3,2,1,36,0,0,0},
{3,2,3,6,0,0,45,1,1},
... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUj4+L1Byb2NTZXRbL1BERi9UZXh0XT4+CmVuZG9iagoKNSAwIG9iago8PC9UeXBlL1BhZ2UvQ29udGV... | https://github.com/janosh/tikz/blob/main/assets/heatmap | janosh/tikz | 2020-08-09T11:07:39 | |
Feynman 3 | \documentclass[tikz]{standalone}
\usetikzlibrary{patterns}
\begin{document}
\begin{tikzpicture}
\draw (-2,0) node[left] {$\varphi_a$} -- (0,0) -- (1.5,1.5) node[above right] {$\varphi_b$} (0,0) -- (1.5,-1.5) node[below right] {$\varphi_c$};
\draw[->,yshift=5pt] (-1.7,0) -- (-0.7,0) node[midway,above] {$p_1$};
\... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDwvcGdmcGF0MyA0IDAgUj4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvVHlwZS9QYXR0ZXJuL1BhdHRlcm5UeXBlIDEvUGFpbnRUeXBlIDIvVGlsaW5nVHlwZSAxL0JCb3hbLS45OTYyOCAtLjk5NjI4IDMuOTg1MSAzLjk4NTFdL1hTdGVwIDIuOTg4ODMvWVN0ZXA... | https://github.com/janosh/tikz/blob/main/assets/feynman-3 | janosh/tikz | 2020-08-09T11:07:39 | |
[Beta-methylamino-DL-alanine - C4H10N2O2](https://chemicalaid.com/tools/molarmass.php?formula=C4N2O2H10). Coordinates found on <https://tex.stackexchange.com/q/453740>. | \documentclass[tikz]{standalone}
\pgfdeclarelayer{background}
\pgfsetlayers{background, main}
\begin{document}
\begin{tikzpicture}
\node[ball color=white, circle] (H1) at (-3.17, 1.39, -0.92) {H};
\node[ball color=white, circle] (H2) at (-3.31, 1.23, 0.84) {H};
\node[ball color=white, circle] (H3) at (-4.08, 0... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvWE9iamVjdC9TdWJ0eXBlL0Zvcm0vQkJveFswIDAgMTAwIDEwMF0vRm9ybVR5cGUgMS9NYXRyaXhbMSAwIDAgMSAwIDBdL1Jlc291cmNlcyA1IDAgUi9MZW5ndGggMTUvRmlsdGVyL0ZsYXRlRGVjb2RlPj4... | https://github.com/janosh/tikz/blob/main/assets/organic-molecule | janosh/tikz | 2020-08-09T11:07:39 | |
Graphs can look differently but be identical. The only thing that matters are which nodes are connected to which other nodes. If there exists an edge-preserving bijection between two graphs, in other words if there exists a function that maps nodes from one graph onto those of another such that the set of connections f... | \documentclass[tikz]{standalone}
\begin{document}
\begin{tikzpicture}[
vertex/.style = {circle, draw, inner sep=1pt, fill=white},
vertex1/.style = {vertex, fill=red!30!white},
vertex2/.style = {vertex, fill=orange!30!white},
vertex3/.style = {vertex, fill=blue!30!white},
vertex4/.style = {vertex, fill=teal!3... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/janosh/tikz/blob/main/assets/graph-isomorphism | janosh/tikz | 2020-08-09T11:07:39 | |
Inspired by <https://tex.stackexchange.com/a/387466>. | \documentclass[tikz]{standalone}
\def\circRad{4em}
\begin{document}
\begin{tikzpicture}[
line cap=round, thick,
stage/.style={shape=circle, draw, font=\bfseries, minimum width=2*\circRad},
challenge/.style={draw, very thin, inner sep=2, rounded corners=2},
every node/.style={align=center},
]
\beg... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMyA3IDAgUi9GMjQgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/janosh/tikz/blob/main/assets/materials-informatics-challenges | janosh/tikz | 2020-08-09T11:07:39 | |
Illustrating the attention mechanism from [arxiv:1706.03762](https://arxiv.org/abs/1706.03762). | \documentclass[tikz]{standalone}
\usetikzlibrary{positioning}
\begin{document}
\begin{tikzpicture}[shorten >=2pt, thick, ->]
\node (X1) {$\vec e_1$};
\node[rectangle, below=3ex of X1] (x_dots_1) {$\dots$};
\node[below=3ex of x_dots_1] (Xj) {$\vec e_j$};
\node[rectangle, below=3ex of Xj] (x_dots_2) {$\dots$};... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQENBMC4yPDwvQ0EgLjI+Pi9wZ2ZAY2EwLjI8PC9jYSAuMj4+L3BnZkBDQTE8PC9DQSAxPj4vcGdmQGNhMTw8L2NhIDE+Pi9wZ2ZAQ0EwLjY8PC9DQSAuNj4+L3BnZkBjYTAuNjw8L2NhIC42Pj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3B... | https://github.com/janosh/tikz/blob/main/assets/self-attention | janosh/tikz | 2020-08-09T11:07:39 | |
Potential Triangle | \documentclass[tikz]{standalone}
\usetikzlibrary{mindmap}
\begin{document}
\begin{tikzpicture}[align=center]
\node (enthalpy) at (2, 0) [concept, concept color=orange] {Enthalpy $H$};
\node (free-energy) at (-2, 0) [concept, concept color=teal] {Free\\Energy $G$};
\node (entropy) at (0, -3) [concept, concept... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvWE9iamVjdC9TdWJ0eXBlL0Zvcm0vQkJveFswIDAgMTAwIDEwMF0vRm9ybVR5cGUgMS9NYXRyaXhbMSAwIDAgMSAwIDBdL1Jlc291cmNlcyA1IDAgUi9MZW5ndGggMTUvRmlsdGVyL0ZsYXRlRGVjb2RlPj4... | https://github.com/janosh/tikz/blob/main/assets/potential-triangle | janosh/tikz | 2020-08-09T11:07:39 | |
The $k$-space region of wave vectors up to a given magnitude is a disk of area $\pi k^2$. The $k$-space area occupied by a single particle state is
$$
\frac{1}{2} \frac{2 \pi}{L_x} \frac{2 \pi}{L_y}
= \frac{2 \pi^2}{A},
$$
where the factor of $\frac{1}{2}$ is due to the spin degeneracy $g_s = 2 s + 1 = 2$. The number o... | \documentclass[tikz]{standalone}
\begin{document}
\begin{tikzpicture}[thick]
% Dot grid
\def\xrange{3}
\def\yrange{3}
\def\ratio{3/4}
\foreach \x in {-\xrange,...,\xrange}
{\foreach \y in {-\yrange,...,\yrange}
{\fill (\x,\ratio*\y) circle[radius=2pt];}}
% Axes
\draw[->] (-\xrange-1/2,0) --... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4xPDwvY2EgLjE+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjI3IDcgMCBSL0YyNiA4IDAgUi9GMjMgOSAwIFIvRjI1IDEwIDAgUi9GMjQgMTE... | https://github.com/janosh/tikz/blob/main/assets/k-space | janosh/tikz | 2020-08-09T11:07:39 | |
Theory Space | \documentclass[svgnames,tikz]{standalone}
\def\unit{5}
\begin{document}
\begin{tikzpicture}[thick]
% Coordinates of initial, end and midpoints of transition to complexity
\coordinate (qea) at (-1/5*\unit,-5/12*\unit); % quantum effective action
\coordinate (ma1) at (2/5*\unit,1/2*\unit); % microscopic action 1... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjI0IDkgMCBSL0YyNiAxMCAwIFIvRjIyIDExIDAgUj4+L1Byb2NTZXRbL1BERi9... | https://github.com/janosh/tikz/blob/main/assets/theory-space | janosh/tikz | 2020-08-09T11:07:39 | |
Named after the mathematician Leonhard Euler, the 3 Euler angles describe arbitrary orientations in 3d w.r.t. to some coordinate system. They can also represent the orientation of a frame of reference in physics or of a general basis in 3d linear algebra. | \documentclass[tikz]{standalone}
\usepackage{tikz-3dplot}
\begin{document}
\tdplotsetmaincoords{70}{130}
\begin{tikzpicture}[tdplot_main_coords, scale=5]
%% Definition of the different styles
\tikzstyle{init} = [black] % initial base
\tikzstyle{prec} = [blue] % 1st intermediate base
\tikzstyle{nuta} = [red] ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzMCA3IDAgUi9GMjcgOCAwIFIvRjIzIDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/janosh/tikz/blob/main/assets/euler-angles | janosh/tikz | 2020-08-09T11:07:39 | |
Illustration of the real-valued non-volume preserving (RNVP) affine coupling layer as introduced in [arxiv:1605.08803](https://arxiv.org/abs/1605.08803). Inspired by <https://blog.evjang.com/2018/01/nf2.html>. | \documentclass[tikz]{standalone}
\usetikzlibrary{calc,positioning}
\begin{document}
\begin{tikzpicture}[
thick, text centered,
box/.style={draw, thin, minimum width=1cm},
func/.style={circle, text=white},
]
% x nodes
\node[box, fill=blue!20] (x1) {$x_1$};
\node[box, fill=blue!20, right of=x1] (x2... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMTw8L2NhIDE+Pi9wZ2ZAQ0ExPDwvQ0EgMT4+L3BnZkBDQTAuNDw8L0NBIC40Pj4vcGdmQGNhMC40PDwvY2EgLjQ+Pi9wZ2ZAQ0EwLjU8PC9DQSAuNT4+L3BnZkBjYTAuNTw8L2NhIC41Pj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3B... | https://github.com/janosh/tikz/blob/main/assets/rnvp | janosh/tikz | 2020-08-09T11:07:39 | |
A mindmap showing the main branches of physics, including Classical Mechanics, Quantum Mechanics, Relativity, Statistical Mechanics, High-Energy Physics, and Cosmology. Each branch is further divided into subcategories. | \documentclass[tikz, svgnames]{standalone}
\usetikzlibrary{mindmap}
\begin{document}
\begin{tikzpicture}[
mindmap, every node/.style=concept, concept color=orange, text=white,
level 1/.append style={level distance=5cm, sibling angle=60, font=\large},
level 2/.append style={level distance=3cm, sibling angl... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvWE9iamVjdC9TdWJ0eXBlL0Zvcm0vQkJveFswIDAgMTAwIDEwMF0vRm9ybVR5cGUgMS9NYXRyaXhbMSAwIDAgMSAwIDBdL1Jlc291cmNlcyA1IDAgUi9MZW5ndGggMTUvRmlsdGVyL0ZsYXRlRGVjb2RlPj4... | https://github.com/janosh/tikz/blob/main/assets/physics-mindmap | janosh/tikz | 2020-08-09T11:07:39 | |
Feynman 2 | \documentclass[tikz]{standalone}
\tikzset{
cross/.style={path picture={\draw[black]
(path picture bounding box.south east) -- (path picture bounding box.north west)
(path picture bounding box.south west) -- (path picture bounding box.north east);}}
}
\begin{document}
\begin{tikzpicture}
\draw (-... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjYgOCAwIFIvRjIzIDkgMCBSL0YyNCAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/janosh/tikz/blob/main/assets/feynman-2 | janosh/tikz | 2020-08-09T11:07:39 | |
A two-dimensional convolution operator slides the kernel matrix across the target image and records elementwise products. Makes heavy use of the matrix environment in TikZ. | \documentclass[tikz]{standalone}
\usetikzlibrary{matrix, positioning}
\begin{document}
\begin{tikzpicture}[
2d-arr/.style={matrix of nodes, row sep=-\pgflinewidth, column sep=-\pgflinewidth, nodes={draw}}
]
\matrix (mtr) [2d-arr] {
0 & 1 & 1 & |[fill=orange!30]| 1 & |[fill=orange!30]| 0 & |[fill=orange!30]... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzMgOCAwIFIvRjMwIDkgMCBSL0YyOCAxMCAwIFIvRjIyIDExIDAgUj4+L1Byb2NTZXRbL1BERi9... | https://github.com/janosh/tikz/blob/main/assets/conv2d | janosh/tikz | 2020-08-09T11:07:39 | |
Illustration of the slow (sequential) forward pass of a Masked Autoregressive Flow (MAF) layer as introduced in [arxiv:1705.07057](https://arxiv.org/abs/1705.07057). Inspired by <https://blog.evjang.com/2018/01/nf2.html>. | \documentclass[tikz]{standalone}
\usetikzlibrary{calc,positioning}
\begin{document}
\begin{tikzpicture}[
thick, text centered,
box/.style={draw, thin, minimum width=1cm},
func/.style={circle, text=white},
input/.style={draw=red, very thick},
]
% x nodes
\node[box, input, fill=blue!20] (x1) {$x_... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMTw8L2NhIDE+Pi9wZ2ZAQ0ExPDwvQ0EgMT4+L3BnZkBDQTAuNDw8L0NBIC40Pj4vcGdmQGNhMC40PDwvY2EgLjQ+Pi9wZ2ZAQ0EwLjU8PC9DQSAuNT4+L3BnZkBjYTAuNTw8L2NhIC41Pj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3B... | https://github.com/janosh/tikz/blob/main/assets/maf | janosh/tikz | 2020-08-09T11:07:39 | |
Illustration of the Sabatier principle in heterogeneous catalysis. Inspired by [From the Sabatier principle to a predictive theory of transition-metal heterogeneous catalysis](https://www.sciencedirect.com/science/article/pii/S0021951714003686). | \documentclass[tikz]{standalone}
\usetikzlibrary{shapes}
\begin{document}
\begin{tikzpicture}[thick, align=center]
\fill[blue!20] (0,0) rectangle (4.5,4);
\fill[orange!20] (4.5,0) rectangle (8,4);
\node at (2.5,1) {limited by\\desorption\\of product};
\node at (6,1) {limited by\\activation\\of reactant};
\... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMzMgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/janosh/tikz/blob/main/assets/sabatier-principle | janosh/tikz | 2020-08-09T11:07:39 | |
Plane to Torus | \documentclass[tikz]{standalone}
\usetikzlibrary{decorations.markings,arrows}
\begin{document}
\begin{tikzpicture}
% lattice
\draw[->,ultra thick] (-2,0) -- (2,0);
\draw[->,ultra thick] (0,-2) -- (0,2);
\draw (-2,-2) grid (2,2);
\node [draw,ultra thick,rectangle,minimum width=1cm,minimum height=1cm,label=b... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/janosh/tikz/blob/main/assets/plane-to-torus | janosh/tikz | 2020-08-09T11:07:39 | |
The Wetterich eqn. is a non-linear functional integro-differential equation of one-loop structure that determines the scale-dependence of the flowing action $\Gamma_k$ in terms of fluctuations of the fully-dressed regularized propagator $[\Gamma_k^{(2)} + R_k]^{-1}$. It admits a simple diagrammatic representation as a ... | \documentclass[tikz,border={0 3}]{standalone}
\usetikzlibrary{patterns,decorations.markings}
\def\lrad{1}
\def\mrad{0.175*\lrad}
\def\srad{0.15*\lrad}
\begin{document}
\begin{tikzpicture}[
pin edge={shorten <=5*\lrad},
cross/.style={fill=white,path picture={\draw[black] (path picture bounding box.south east)... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDwvcGdmcGF0MyA0IDAgUj4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvVHlwZS9QYXR0ZXJuL1BhdHRlcm5UeXBlIDEvUGFpbnRUeXBlIDIvVGlsaW5nVHlwZSAxL0JCb3hbLS45OTYyOCAtLjk5NjI4IDMuOTg1MSAzLjk4NTFdL1hTdGVwIDIuOTg4ODMvWVN0ZXA... | https://github.com/janosh/tikz/blob/main/assets/wetterich-equation | janosh/tikz | 2020-08-09T11:07:39 | |
Cost vs accuracy trade-off for different quantum mechanics approximations. $N$ denotes the system size, usually the number of electrons. Source: [Frank Noe](https://chemistryworld.com/news/quantum-chemistry-simulations-offers-beguiling-possibility-of-solving-chemistry/4011541.article). | \documentclass[tikz]{standalone}
\def\range{9}
\def\xyRatio{2/3}
\def\circSize{1mm}
\begin{document}
\begin{tikzpicture}[->, very thick, align=center, scale=1.25]
\draw (0,-0.5) -- (0,\range*\xyRatio) node[below right] {accuracy};
\draw (-0.5,0) -- (\range,0) node[above] {computational\\complexity};
\foreach \... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFIvRjIzIDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/janosh/tikz/blob/main/assets/qm-cost-vs-acc | janosh/tikz | 2020-08-09T11:07:39 | |
3blue1brown-inspired geometric visualization of Bayes theorem <https://youtu.be/HZGCoVF3YvM>. | \documentclass[tikz]{standalone}
\usetikzlibrary{decorations.pathreplacing}
\begin{document}
\begin{tikzpicture}[thick, font=\large, white, draw=white]
\draw[fill=orange] (0,0) rectangle (2,4) node[midway] (pEH) {$p(E|H)$};
\draw[fill=teal] (0,4) rectangle (2,8) node[midway] (pH) {$p(\neg E|H)$};
\draw[fill=bl... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNiA3IDAgUi9GMzMgOCAwIFIvRjM5IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/janosh/tikz/blob/main/assets/geometric-bayes | janosh/tikz | 2020-08-09T11:07:39 | |
Structure-based materials informatics workflow. Inspired by fig. 1 in <https://doi.org/10.1016/j.cpc.2019.106949>. | \documentclass[tikz]{standalone}
\usetikzlibrary{positioning, arrows.meta, calc}
\begin{document}
\begin{tikzpicture}[
neuron/.style={circle,fill=black!25,minimum size=20,inner sep=0},
label/.style={font=\large\bfseries, minimum size=3em},
arrow/.style={>={LaTeX[width=5mm,length=5mm]}, ->, line width=1ex, gray,... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvWE9iamVjdC9TdWJ0eXBlL0Zvcm0vQkJveFswIDAgMTAwIDEwMF0vRm9ybVR5cGUgMS9NYXRyaXhbMSAwIDAgMSAwIDBdL1Jlc291cmNlcyA1IDAgUi9MZW5ndGggMTUvRmlsdGVyL0ZsYXRlRGVjb2RlPj4... | https://github.com/janosh/tikz/blob/main/assets/materials-informatics | janosh/tikz | 2020-08-09T11:07:39 | |
Ergodic | \documentclass[tikz]{standalone}
\usepackage{amssymb}
\usetikzlibrary{shapes.geometric}
\begin{document}
\begin{tikzpicture}[thick]
% Axes
\def\x{5}\def\y{3}
\draw[->] (-\x-0.5,0) -- (\x+0.5,0) node[right] {$q_1$};
\draw[->] (0,-\y-0.5) -- (0,\y+0.5) node[above] {$q_2$};
% Ellipse
\draw[blue,fill=blue,f... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4wNTw8L2NhIC4wNT4+L3BnZkBjYTAuMTw8L2NhIC4xPj4+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjE3IDk... | https://github.com/janosh/tikz/blob/main/assets/ergodic | janosh/tikz | 2020-08-09T11:07:39 | |
The metal-oxide-semiconductor field-effect transistor, or MOSFET for short, is the most frequently manufactured device in history, with close to 10^23 MOSFETs produced since 1960. As the basic building block of almost all modern electronics, it revolutionized the world economy and triggered our ascent into the informat... | \documentclass[tikz, border=5pt]{standalone}
\usetikzlibrary{patterns}
\begin{document}
\begin{tikzpicture}[font=\sffamily]
\node[above=1ex] at (2,3.5) {\large $n$-channel MOSFET};
\draw[fill = teal] (0,0) rectangle (11,-0.25) node[below=1ex, midway] {circuit board};
\draw[fill=orange!50] (0,0) rectangle (11,... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDwvcGdmcGF0MTEgNCAwIFI+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvUGF0dGVybi9QYXR0ZXJuVHlwZSAxL1BhaW50VHlwZSAyL1RpbGluZ1R5cGUgMS9CQm94Wy0uOTk2MjggLS45OTYyOCAxNC4xNzMzOSAxNC4xNzMzOV0vWFN0ZXAgMTEuMzM4NzE... | https://github.com/janosh/tikz/blob/main/assets/mosfet | janosh/tikz | 2020-08-09T11:07:39 | |
TikZ-reproduction of fig. 1 from the paper MADE: Masked Autoencoder for Distribution Estimation ([arxiv:1502.03509](https://arxiv.org/abs/1502.03509)). | \documentclass[tikz]{standalone}
\usepackage{xstring}
\usetikzlibrary{calc,positioning}
\newcommand\drawNodes[2]{
% #1 (str): namespace
% #2 (list[list[str]]): list of labels to print in the node of each neuron
\foreach \neurons [count=\lyrIdx] in #2 {
\StrCount{\neurons}{,}[\layerLen] % use xstring packag... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjI0IDkgMCBSL0YzMCAxMCAwIFIvRjM0IDExIDAgUi9GMzUgMTIgMCBSL0YyNiA... | https://github.com/janosh/tikz/blob/main/assets/made | janosh/tikz | 2020-08-09T11:07:39 | |
One of the pivotal insights of the 2nd superstring revolution point was [Edward Witten's formulation of M-Theory in 1995](https://arxiv.org/abs/hep-th/9503124). Before that, there had been 5 different types of string theories, each 10-dimensional: Type I, Type IIa and IIb, and two different heterotic theories. Witten s... | \documentclass[tikz,svgnames]{standalone}
\begin{document}
\begin{tikzpicture}
\node (so32) [align=center] at (-5,-1) {heterotic\\$SO(32)$};
\node (e8e8) [align=center] at (-3,4) {heterotic\\$E(8) \times E(8)$};
\node (tiia) [align=center] at (4,3) {Type II A};
\node (tiib) [align=center] at (5,-2) {Type II ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDwvcGdmQGNhMC4zPDwvY2EgLjM+Pj4+CmVuZG9iagoKMiAwIG9iago8PD4+CmVuZG9iagoKMyAwIG9iago8PC9wZ2ZwcmdiWy9QYXR0ZXJuL0RldmljZVJHQl0+PgplbmRvYmoKCjQgMCBvYmoKPDwvQ29sb3JTcGFjZSAzIDAgUi9QYXR0ZXJuIDIgMCBSL0V4dEdTdGF0ZSAxIDAgUi9Gb250PDwvRjI0IDcgMCBSL0YyNyA4IDAgUi9GMzAgOSAwIFIvRjM0IDEwIDAgUj4+L1Byb2N... | https://github.com/janosh/tikz/blob/main/assets/m-theory | janosh/tikz | 2020-08-09T11:07:39 | |
Illustration of applying dropout with a rate of $p = 0.5$ to a multilayer perceptron. | \documentclass[tikz]{standalone}
\usetikzlibrary{positioning}
\def\layersep{2}
\def\nodesep{1.5}
\begin{document}
\begin{tikzpicture}[
node/.style={circle, draw, thick},
]
\foreach \y in {1,...,5}{
\node[node] (i\y) at (0,\nodesep*\y) {};
\node[node, right=\layersep of i\y] (h1\y) {};
\nod... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YzNCA3IDAgUi9GNDAgOCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmRvYmoKCjUgMCBvYmoKPDwvVHlwZS9... | https://github.com/janosh/tikz/blob/main/assets/dropout | janosh/tikz | 2020-08-09T11:07:39 | |
Sign function in the complex plane. | \documentclass[tikz, svgnames]{standalone}
\usepackage{mathtools}
\let\Im\relax
\DeclareMathOperator{\Im}{Im}
\let\Re\relax
\DeclareMathOperator{\Re}{Re}
\def\xr{4} \def\yr{4}
\begin{document}
\begin{tikzpicture}[thick]
% Axes
\draw[->] (-\xr, 0) -- (\xr, 0) node [right] {$\Re(p_0)$};
\draw[->] (0, -\yr) -- ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFIvRjIzIDkgMCBSL0YzMCAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/janosh/tikz/blob/main/assets/sign-plane | janosh/tikz | 2020-08-09T11:07:39 | |
Cartoon of the AlCoCrFeNi high entropy alloy (HEA) with body-centered cubic (BCC) lattice. HEAs also come in face-centered cubic (FCC) and (less frequently) hexagonal close packing (HCP). BCC HEAs typically have high yield strength and low ductility, vice versa for FCC HEAs. [Wiki article](https://wikipedia.org/wiki/Hi... | \documentclass[tikz]{standalone}
\pgfmathdeclarerandomlist{colors}{{red!80}{teal}{blue!80}{orange}{blue!20}}
\begin{document}
\begin{tikzpicture}
\foreach \i in {1,...,12} {
\foreach \j in {1,...,4} {
\foreach \k in {1,...,4} {
\pgfmathrandomitem{\randColor}{colors}
\shad... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L1R5cGUvWE9iamVjdC9TdWJ0eXBlL0Zvcm0vQkJveFswIDAgMTAwIDEwMF0vRm9ybVR5cGUgMS9NYXRyaXhbMSAwIDAgMSAwIDBdL1Jlc291cmNlcyA1IDAgUi9MZW5ndGggMTUvRmlsdGVyL0ZsYXRlRGVjb2RlPj4... | https://github.com/janosh/tikz/blob/main/assets/hea | janosh/tikz | 2020-08-09T11:07:39 | |
Illustration of skip connection in a residual block. Inspired by the ResNet paper. [arxiv:1512.03385](https://arxiv.org/abs/1512.03385) | \documentclass[tikz]{standalone}
\usetikzlibrary{positioning, calc, decorations.pathreplacing}
\begin{document}
\begin{tikzpicture}
\node[fill=orange!50] (l1) {layer 1};
\node[blue!50!black, right=of l1, label={below:activation}] (act1) {$a(\vec x)$};
\node[fill=teal!50, right=of act1] (l2) {layer 2};
\node[... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNCA3IDAgUi9GMjcgOCAwIFIvRjM1IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/janosh/tikz/blob/main/assets/skip-connection | janosh/tikz | 2020-08-09T11:07:39 | |
The Otto cycle is an idealized thermodynamic cycle of a typical spark ignition piston engine. It is the thermodynamic cycle most commonly found in automobile engines. | \documentclass[tikz, svgnames]{standalone}
\usepackage{mathtools}
\usetikzlibrary{decorations.markings}
\def\V{10}
\def\p{7}
\tikzset{decoration={markings, mark=at position 0.5 with {\arrow{stealth}}}}
\begin{document}
\begin{tikzpicture}[thick]
\draw[->] (0, 0) -- (0, \p) node[right] {$p$};
\draw[->] (0, 0) --... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjI0IDkgMCBSL0YzMCAxMCAwIFI+Pi9Qcm9jU2V0Wy9QREYvVGV4dF0+PgplbmR... | https://github.com/janosh/tikz/blob/main/assets/otto-cycle | janosh/tikz | 2020-08-09T11:07:39 | |
This Feynman diagram contains two propagators forming a loop carrying the external energy $q_0$. $m_{1,2}$ denote the masses of the propagators and $\gamma_{1,2}$ their decay width which, for an expansion in Minkowski space, are non-zero only around a real and positive on-shell frequency $p_0 > 0$. | \documentclass[tikz,svgnames]{standalone}
\begin{document}
\begin{tikzpicture}[very thick,q0/.style={->,DarkBlue,semithick,yshift=5pt,shorten >=5pt,shorten <=5pt}]
% Loop
\def\radius{1.5}
\draw (0,0) circle (\radius);
\node[above] (1) at (0,\radius) {$m_1^2$, $\gamma_1^2$};
\node[below] (2) at (0,-\radius) ... | "JVBERi0xLjUKJcK1wrYKCjEgMCBvYmoKPDw+PgplbmRvYmoKCjIgMCBvYmoKPDw+PgplbmRvYmoKCjMgMCBvYmoKPDwvcGdmcHJnYlsvUGF0dGVybi9EZXZpY2VSR0JdPj4KZW5kb2JqCgo0IDAgb2JqCjw8L0NvbG9yU3BhY2UgMyAwIFIvUGF0dGVybiAyIDAgUi9FeHRHU3RhdGUgMSAwIFIvRm9udDw8L0YyNyA3IDAgUi9GMjMgOCAwIFIvRjI0IDkgMCBSPj4vUHJvY1NldFsvUERGL1RleHRdPj4KZW5kb2JqCgo1IDAgb2J... | https://github.com/janosh/tikz/blob/main/assets/feynman-diagram-propagator-loop | janosh/tikz | 2020-08-09T11:07:39 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.