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# ## What is a Variable?
#
# A variable is any characte... | Section-02-Types-of-Variables/02.2-Categorical-Variables.ipynb |
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# <link href="http://mathbook.pugetsound.edu/beta/mathbook-con... | aata/section-math-induction.ipynb |
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# <style>div.container { width: 100% }</style>
# <img style="float:left; vertical-align:text-bottom;" height="65" width="172" src="assets/PyV... | notebooks/06_Network_Graphs.ipynb |
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# # Project 0
# In matlab, open and show an image,
#
#... | Project0/.ipynb_checkpoints/Project0-checkpoint.ipynb |
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# Deep Learning Models -- A collection of various deep... | pytorch_ipynb/tricks/gradclipping_mlp.ipynb |
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# This notebook reproduces the timepoint-by-timepoint ... | code/notebooks/supp/corrmats.ipynb |
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# # 函数
#
# - 函数可以用来定义可重复代码，组织和简化
# - 一般来说一个函数在实际开发中为一个... | 7.20.ipynb |
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# Kmeans
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import numpy as np
import p... | kmeans.ipynb |
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# # Evaluating Machine Learning Algorithms - Extended ... | EvaluationMachineLearning.ipynb |
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import pandas as pd
import numpy as np
import networkx... | community_detection/DANMF/test_0.ipynb |
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# Import Essential packages
import numpy as np
imp... | Getting Started/Tutorial Level 1.ipynb |
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# This notebook contains plots of v... | stochastic_admm_model/metrics/plt.ipynb |
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# # Initializing Neural Networks
#
# In this notebook ... | 03 - Initializing Neural Networks.ipynb |
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# + [markdown] id="ISubpr_SSsiM"
# ##### Copyright 2020 The TensorFlow Author... | site/en/guide/function.ipynb |
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# ## Read About _
# [Role of _](https://www.datacamp.c... | July-12-2020.ipynb |
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#r "nuget: Microsoft.ML"
using Microsoft... | NormalizeLogMeanVariance.ipynb |
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# ## Advanced Lane Finding Project
#
# The goals / ste... | line_detection.ipynb |
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# # BIAFlows
#
# ## Nuclei Tracking 2D+t
#
# ### Fiji-... | Nuclei Tracking 2D+t with helpers.ipynb |
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import sys
from path... | SAC/task0_train.ipynb |
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# + [markdown] id="HaF1C3dLUhtB"
# # **Random Forest - Credit Default Predict... | Random Forest/Random Forest - Credit Default Prediction.ipynb |
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# + [markdown] application/vnd.databricks.v1+cell={"ti... | databricks/python/SparkOcrSimpleExample.ipynb |
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import warnings
import itertools
import numpy as np
im... | Time series analysis.ipynb |
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# # Benchmarking OpenBLAS
#
# 13 de Febrero 2019
#
# _... | analisisnum-jorgealtamirano/openblas-py3/benchmark.ipynb |
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#Import Dependencies
import pandas as pd
# Scrap the ... | simon_fix.ipynb |
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# # NN Regression with Keras
# - **Created by <NAME>*... | code/RegressionNN.ipynb |
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# # Using Cholesky and Singular Value Decomposition to... | Misc/.ipynb_checkpoints/Cholesky+and+SVD+Correlated+Random-checkpoint.ipynb |
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# ## CPT Poem Generator
#
# ### How to use CPT
# * In ... | sequencial_analysis/CPT_poem_generator.ipynb |
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import torch
import torch.nn as nn
import torch.nn.fun... | nst/ExploringMNISTNeuralNet.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "hei... | VGG16/VGG16.ipynb |
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# # Analyzing your model with TensorFlow Model Analysi... | chapters/model_analysis/model_analysis.ipynb |
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# <div class="alert alert-block alert-info">
# <h1 st... | 20210703-CNS2021/03_python/Python 101 - With Solutions.ipynb |
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# # Rozdział 6. Wizualizacja
# ## Wprowadz... | python/R06/code/Wizualizacja.ipynb |
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import matplotlib.pyplot as plt
import pandas as pd
im... | model.ipynb |
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# ## Overlapping Labels
#
# In this exercise, we're go... | Quiz/m7/dependent_labels_solution.ipynb |
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import seaborn as sns
import pandas as pd
from datetim... | notebooks/analysis/data_points.ipynb |
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# ... continue [here](https://livebook.manning.com/boo... | ch2/3. Unitary operators and the Hadamard Operator.ipynb |
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# ## Project Code
# #### Imports
# +
import pandas a... | project/Project Report - Code.ipynb |
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# + [markdown] id="sn0FLHCiVO8a"
# # Introduction to P... | (1) [Jupyter - Youth] Module 5.ipynb |
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# # Exploratory Data Analysis
# +
import sys
ppath = ... | docs/tutorials/EDA.ipynb |
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# # Resources
#
#
#
#
# ### Python
#
# [Python 3 Docum... | Python Code Challenges/.ipynb_checkpoints/Directions_reduction-checkpoint.ipynb |
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# # Welcome to Kijang Emas analysis!
#
# 
# language: python
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# # Root To Node Path In Binary Tree
#
# ... | Data Structure & Algorithm/Milestone 4/BST - 2.ipynb |
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# + id="0UDQUSvQ3VQK"
import pandas as pd
import numpy... | Basic_Analysis.ipynb |
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#import Pkg
#Pkg.add("GraphRecipes")
using VMLS, S... | Network Diagram/Networks.ipynb |
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# # Trends
# By <NAME>" Nitishinskaya and <NAME>
#
# N... | lectures/drafts/Trend models.ipynb |
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# # Deep Nets with TF Abstractions
#
# Let's e... | Miscellaneous-Topics/00-Deep-Nets-with-TF-Abstractions.ipynb |
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# + [markdown] id="mgIRFfegQApR"
# ### Eff7_20fold_base -----> (0 to 19) fold... | Competition-Solutions/Audio/GIZ NLP Agricultural Keyword Spotter/Solution 3/04-Eff7_20fold_base Model.ipynb |
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# # Wine Quality Prediction - Unsupervised Lea... | Unsupervised Learning Methods on Wine Data.ipynb |
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# # Predicting house prices: a regression example
# Anoth... | Complete/RegressionExampleComplete.ipynb |
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# + colab={"base_uri": "https://localhost:8080/"} executionInfo={"elapsed": 1... | colabs/nasnet-base_model_with_layer.ipynb |
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## new kernel.py
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# ##%file:../... | kernel/Rust/l_mykernel.ipynb |
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import pandas as pd
import numpy as np
import os
# ##... | notebooks/02-exploring-processing-data.ipynb |
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# # Moving the Robot
# The Pioneer 3-DX robot is an al... | Unit 1/Moving the Robot.ipynb |
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# %matplotlib inline
import matplotlib.pyplot as plt
i... | jupyter_notebooks/machine_learning/Feature_Engineering/PCA.ipynb |
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# Home Budget
# -----
# +
import requests
import pick... | jupyter/homebudget2.ipynb |
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# # Exploring Raw Data
#
# Here are just some very sim... | docs/tutorials/raw_data_exploration.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
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# # Interpolation ([scarlet.interpolation](interpolati... | docs/interpolation.ipynb |
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# # importing the MLBox
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# # Bead count
#
# This module will demonstrate how to... | src/bead_count.ipynb |
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# # Archivos y Bases de datos
# La idea de este talle... | Camilo/.ipynb_checkpoints/Taller 2 - Archivos y Bases de Datos-checkpoint.ipynb |
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# ## Constructing machine learning potential
# First ... | tutorials/constructing_machine_learning_potential.ipynb |
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# # Think Bayes
#
# This notebook presents code and ex... | solutions/.ipynb_checkpoints/height_soln-checkpoint.ipynb |
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# # Assignment 1
#
# The goal of this assignment is to... | week_2/ML.ipynb |
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# + id="dSwpGifpB7W9"
import tensorflow as tf
import numpy as np
import matpl... | Chapter_2/simple_linear_regression_using_keras_API.ipynb |
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# <center>
# <img src="https://gitlab.com/ibm/sk... | Data Collecion with Web Scraping.ipynb |
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# ## Convergence Testing:
# ### K-Point Convergence:
#... | VASP Convergence Analysis.ipynb |
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import numpy as np
import cv2
import matplotlib.p... | Mean-Single-Convolution/MEAN_IP_FLOAT.ipynb |
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# ## Library
# +
import platform
import os
import random
from sklearn.metrics import f1_score, classification_report
import efficientnet
imp... | hybrid-mlp.ipynb |
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# prerequisite package imports
import numpy as np
... | Histogram_Practice.ipynb |
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# # **Space X Launch Sites Locations Analysis with Folium**
#
# T... | launch_site_locations.ipynb |
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# # Polynomial Fit Plot with Regression Transform
#
# ... | doc/gallery/poly_fit_regression.ipynb |
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import numpy as np
import pandas as pd
df = pd.read_e... | Step00-IncidenceFlightAtDifferentLightLevels.ipynb |
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# # Ebisu howto
# A quick introduction to using the li... | EbisuHowto.ipynb |
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# + deletable=true editable=true
# %matplotlib inline
... | notebooks/trappist-1maps.ipynb |
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# # 08. Memory game
# ### Exercise 1
# What will be p... | docs/notebooks/08. Memory game.ipynb |
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# # Neural Architecture Search with DARTS
#
# In this ... | sdk/python/v1beta1/examples/nas-with-darts.ipynb |
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# # Chaper 2 - N-arme... | notebooks/02_book.ipynb |
# -*- coding: utf-8 -*-
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="ht... | Proyecto_solucion_parcial.ipynb |
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# + [markdown] id="g6lqayVYvCyQ" colab_type="text"
# # Text-to-Speech with Mo... | Deep-Learning-Notebooks/notebooks/Mozilla_TTS_WaveRNN.ipynb |
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# ## K-Means Clustering
# **Overview**<br>
# <a href=... | 8. Machine Learning-2/7. Clustering/Clustering Python Lab.ipynb |
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# call code to simulate action potentials via FHN biop... | FHN Simulation 001.ipynb |
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# %matplotlib inline
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# # Timeseries c... | fordA-classification/timeseries_classification_conv_lstm.ipynb |
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# # Tutorials
#
# > To he... | nbs/tutorial.ipynb |
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# # 11 yr dropout analysis redux
# +
from __future__ ... | postproc_nb/unsorted/11yr_dropout.ipynb |
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# # Vehic... | Pipeline.ipynb |
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from pathlib import Path... | notebooks/dk_object_model.ipynb |
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# # Stable Matching
#
# (For [_Markets, Mechanisms, Ma... | stablematching.ipynb |
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# ### Import Necessary Libraries
import pandas as pd ... | Classification Problems/05-Diabetes Prediction.ipynb |
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# # Goodies of the [Python Standard Library](https://docs.python.o... | notebooks/beginner/notebooks/std_lib.ipynb |
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# # Chaper 8 - Intrinsic ... | Chapter 8/Ch8_book.ipynb |
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# # Univariate Linear Regression
# In this iPython no... | Univariate Linear Regression.ipynb |
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import numpy as np
import matplotl... | Linear Regression/Project.ipynb |