code stringlengths 38 801k | repo_path stringlengths 6 263 |
|---|---|
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # "The Latent Space of Podcasts"
# > "We... | _notebooks/2022-03-19-podcasts-recommender.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] slideshow={"slide_type": "slide"}
# # B... | content/notebooks/chapter_11.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] nbgrader={"grade": false, "grade_id": "... | assignments/A6/A6_Q1.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] lc_cell_meme={"current": "fe1ca510-c280... | stage3.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ## Pneumonia detection on chest X-rays
# Pneumonia ... | pneumonia detection.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import numpy as np
import sys
import matplotlib.pyplot... | scripts/edge_detection_31.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# ---
# + [markdown] origin_pos=0
# # Information Theory
# :label:`sec_information_theory`
#
# The universe is overflowing with information. Informa... | d2l-en/tensorflow/chapter_appendix-mathematics-for-deep-learning/information-theory.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# #### Exercícios Python
# Primeiro Exercício
def fr... | Exercises/draft/Exercicios_text_operations.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # Self-Consistent Dust Reddening
# In [... | docs/examples/example_pop_dusty.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] papermill={"duration": 0.01986, "end_ti... | Model backlog/Models/68-openvaccine-tf-bahdanau-attention-safe-features.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # PSFs
#
# PSFs in prysm have a very simple construc... | docs/source/user_guide/PSFs.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
#... | Installing_and_Testing_Plotly.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] nbsphinx="hidden" slideshow={"slide_typ... | notebooks/attenuation/wradlib_attenuation.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
import pandas as pd
df = pd.read_csv(... | I Resolving Python with Data Science/07_Applied For Loops vs DataFrame Functionalities/solutions/06session_pandas-vs-for_loop.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
from IPython.display import Image, display
Image("ryok... | EX3.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import pandas as pd
import numpy as np
import matplotl... | 3.3.1/Terekhov_M/graphs/2.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: tfp-env
# language: python
# name: anaconda-tfp_env
# ---
# # Mixture Consistency Projection
# $$
# \ha... | AudioSeparator/src/MixtureConsistencyProjection.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
def greeting():
print ("Hello World!")
gr... | novice/02-01/kasus/kasus.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Features derived from an limit order book
#
# In t... | ctc-executioner/notebooks/orderbook_features.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import pandas as pd
import numpy as np
import matplotl... | research-1/house_prices_prediction_baseline.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | sorting/countingSort.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
from __future__ import absolute_import, division, prin... | CNNs/1-Image_Classification/3_VGG16.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Express sklearn pipeline as codeflare pipeline
# R... | notebooks/plot_scalable_poly_kernels.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
# Initial imports
import numpy as np
import pandas... | Python-Scripts/RiskStats.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] tags=["remove_cell"]
# # Simulating Mol... | content/ch-applications/vqe-molecules.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Семинар по numpy
#
# В этом семинаре мы познакомим... | Homework Numpy 1.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: pygmt06
# language: python
# name: pygmt06
# ---
# # Automatically plot Antarctic cross-section/profiles... | auto_xsection.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
from sdgym import load_dataset
import numpy as np
imp... | notebooks/002-mb-bn_reweighting-examples/alarm_categorical_variables_bayesian_network_reweighted_stat_errors.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import pickle
import matplotlib.pyplot as plt
from sci... | Policy-Network/.ipynb_checkpoints/Data Analysis-checkpoint.ipynb |
# ##HandWritten Digit Recognition using SVM, CNN with TensorFlow and Keras
# ### MNIST Dataset
# The MNIST database (Modified National Institute of Standards and Technology database) is a large database of handwritten digits that is commonly used for training various image processing systems. The database is also wide... | ADS Project.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Rasterising vectors & vectorising rasters <img ali... | Frequently_used_code/Rasterise_vectorise.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
import warnings
warnings.filterwarnings("i... | notebooks/evaluation.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: pyKIS
# language: python
# name: pykis
# ---
# ## 1. GitLab introduction
# ## 2. DataCamp
# To get you ... | exercises/sol_1_1.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# + [markdown] id="vlBQLYLv2YTQ"
# # "Lecc... | _notebooks/2021-07-24-Leccion-03-Conceptos-fundamentales-DL.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + id="OdNiA5tcv5Ym" colab_type="code" outputId="07c334af-12d5-4bf2-9d41-b96... | main.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | haskell_lipovaca.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [conda env:insight] *
# language: python
# name: conda-env-insight-py
# ---
# ## Unit operations ... | notebooks/data-examples.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %pylab inline
import pandas as pd
import seaborn as ... | uber_analysis_apr14/Uber analysis apr 14.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import pandas as pd
import numpy as np
import matp... | astock.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ### Unveiling a classification model- Whether the pa... | notebooks/Explainability.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # [ATM 623: Climate Modeling](../index.ipynb)
#
# [<... | Assignments/Assignment01 -- Feedback in the zero-dimensional EBM.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] id="-g6yvz65FsP0"
# # Chapter6 再帰型ニューラル... | Google_Colaboratory/Chapter6/Section6-4.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import matplotlib.pyplot as plt
x = (1,2,3,4,5)
y... | Data Visualization with python/Histogram.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] slideshow={"slide_type": "slide"}
# # C... | assignments/assignment01-house-price-using-regression.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Задание 5
# <NAME> ПИ19-4
# В заданном на рисунк... | Course I/Алгоритмы Python/Part2/семинары/pract6/task5/task.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # RCS Document NoSQL
RCS Document NoSQL
# https://... | NoSQL/Document NoSQL Databases MongoDB.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# %matplotlib inline
import matplotlib.pyplot as plt
i... | fail_wok/cub_deeplab_withseg/Untitled.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Platte
# Die Steifigkeit einer linear elastischen... | 3_Platte.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # RK_01_EarthCube_GeoEDF_Demo
# ## Author(s)
# List... | geoedf/RK_01_EarthCube_GeoEDF_Demo.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3.7.5 64-bit
# name: python37564bitcec697e8df1e4b95a8b71588e12c06eb
# ---
# # Lab 1: Introduction to ... | Deep Learning/lab/lab1.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import matplotlib.pyplot as plt
import sys
import nump... | Notebooks/stock_example.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %matplotlib inline
import matplotlib.pyplot as plt
i... | Standing_Wave_Theory/Understanding Semi-standing Tides.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .jl
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Julia 1.6.5
# language: julia
# name: julia-1.6
# ---
# # PRAKTIKUM 3b
# __Solusi Akar Persamaan Tak-Lin... | notebookpraktikum/Praktikum 03b.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# Write A Function In Machine Code - Basically a Strin... | notebooks/Machine Code 001.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [conda env:learn-env] *
# language: python
# name: conda-env-learn-env-py
# ---
# +
# Import lib... | notes.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# > 本文由 [简悦 SimpRead](http://ksria.com/simpread/) 转码， ... | 技术/XServer基本概念 + x11vnc配置远程桌面.ipynb |
# ## OpenCV Integration Example
# Note: SwiftCV package requires OpenCV installed in order to compile.
# Uncomment line below when using Colab (this installs OpenCV4)
# %system SwiftCV/install/install_colab.sh
%install-location $cwd/swift-install
%install '.package(path: "$cwd/SwiftCV")' SwiftCV
%install '.package(pat... | nbs/swift/opencv_integration_example.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # PHP 2020
# <img src="https://www.php.net/images/l... | public/media/2/index.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# ---
import holoviews as hv
from holoviews import opts
from holoviews.streams import PointDraw
hv.extension('bokeh')
# ## Declaring data
points =... | examples/gallery/demos/bokeh/point_draw_triangulate.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# This notebook shows the process of extracting featur... | notebooks/face_extract.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .jl
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Julia 0.7
# language: julia
# name: julia-0.7
# ---
# # Recursive resumable function
#
# Example provide... | examples/Recursive resumable function.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Cost Search
# In this exercise you'll implement e... | Cost Search.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Data Loading Tutorial
# cd ../..
save_path = 'da... | tests/notebooks/data_loading.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# +
from __future__ import absolute_import
from __futu... | unintended_ml_bias/mann_whitney_analysis.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Task 3
# # Imports
import numpy as np
import pan... | Milestone3-Task3.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python3
# language: python
# name: python3
# ---
# # 整数計画問題による複数文書要約モデル
# ## McDonaldモデル
# 次の目的関数の最小化を考え... | quantum_summarization.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3 (ipykernel)
# language: python
# name: python3
# ---
# # Bilma Classification demo
from bilma ... | bilma-cls-demo.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import logging
import importlib
importlib.reload(l... | notebooks/constant-memory/BigTestWithAutomaticTransformation.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | 2015/main.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: DeepLearning
# language: python
# name: deeplearning
# ---
import os
import pandas as pd
import numpy as... | notebooks/Modeling/06042021_Model_Testing_Sandbox.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + id="lBnaYLtyZcJF" colab_type="code" colab={}
import math
import re
impo... | Clickbait.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: conda_python3
# language: python
# name: conda_python3
# ---
# # This is a Markdown cell
#
# Use these c... | ipynb/hello.ipynb |
# -*- coding: utf-8 -*-
# # Combining dependency management with conda and Docker
# We can combine an environment.yml file with a Dockerfile and an install.R
# script to cover many container use cases for Bioinformatics.
#
# ### **Overview**
#
# The [`nf-core`](https://github.com/nf-core) community has established ... | classes/class_3/2-build-test-share-reuse-docker.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [default]
# language: python
# name: python3
# ---
import pandas as pd
import numpy as np
import ... | data_analysis.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="Irpquiv8t2D0" colab_type="text"
# ## Setup
# + id="8ZbuY9... | labs/text_classification_cnn.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Chemical Synapse Model
import numpy as np
import ... | task02/task02.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python [conda env:fast_tabnet]
# language: python
# name: conda-env-fast_tabnet-py
# ---
from fastai.bas... | 01_examples.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import os
import matplotlib
import matplotlib.pypl... | TDR_KCl_archive.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ![MIT Deep Learning](https://deeplearning.mit.edu/fi... | tutorial_deep_learning_basics/deep_learning_basics.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# default_exp special_tokens
# %load_ext autoreload
... | source_nbs/02_special_tokens.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import binascii
cipher1 = "<KEY>"
cipher2 = "<KEY... | py/TwoTimePads.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# Download this page as a jupyter notebook at [Lesson ... | 1-Lessons/Lesson00/ENGR-1330-Lesson00.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + id="H9EU0e8yzFOm" colab_type="code" outputId="c14c62d4-eab7-4cd8-d666-0fb... | CNN_MNIST.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# # Geometry tools: example usage
#
# First, import th... | examples/geometry_drawing_tools.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# %load_ext sparkmagic.magics
# %spark add -s my_sess... | lecture_source/big_data/pyspark_01.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ## Load data files
import pandas as pd
from sklearn... | replication/replication_word-based_dedup.ipynb |
# # 6 Decorators
# ### 6.1 Decorators Simplified
# Conceptually a decorator changes or adds to the functionality of a
# function either by modifying its arguments before the function is
# called, or changing its return values afterwards, or both.
def add(first, second):
return first + second
#
add(2, 3)
... | speakers/Stuart Williams/PyCon-2016-Python-Epiphanies/Python-Epiphanies-06-6-Decorators.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# <h1 style="font-size:42px; text-align:center; margin... | Project 1 Workbook Bundle/Module 4 - The Big Picture.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# + [markdown] hideCode=false hidePrompt=false
# ## Tw... | Twitter-Sentiment-Analysis.ipynb |
// -*- coding: utf-8 -*-
// ---
// jupyter:
// jupytext:
// text_representation:
// extension: .cs
// format_name: light
// format_version: '1.5'
// jupytext_version: 1.14.4
// kernelspec:
// display_name: .NET (C#)
// language: C#
// name: .net-csharp
// ---
// + [markdown]... | Module 16 C#/Reflections/Reflections.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="vkdnLiKk71g-"
# ##### Copyright 2021 The TensorFlow Author... | docs/tutorials/federated_select.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import exmp
import os.path
import qiime2
import pa... | code/microbiome-change-exercise-change-correlation.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import pandas as pd
import numpy as np
import re
d... | src/.ipynb_checkpoints/Untitled1-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# ### Scenario
# Alice is competing in Kaggle's Titani... | debug_example.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# #Lesson 3
#
# This lesson will review **linear equat... | Lessons/Lesson 3/Lesson 3.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import numpy as np
import cv2 as cv
from tensorflow.k... | prediction.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# Please Follow this Docker container installation pro... | notebooks/covid19/archive/.ipynb_checkpoints/MY_COVID19-Prediction_2020-10-18-1dayForecast-data-output-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 2
# language: python
# name: python2
# ---
# In looking at the flux results, I had a hunch that s... | .ipynb_checkpoints/Issues with Flow-checkpoint.ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# name: python3
# ---
# + [markdown] id="view-in-github" colab_type="text"
# [View in Colaboratory]... | 3_MNIST_classification_fully_connected_neural_networks_(tf_keras).ipynb |
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.14.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
# +
import numpy as np
import open3d as o3d
import os
... | docs/jupyter/geometry/half_edge_mesh.ipynb |