Most Trending Jupyter Notebooks of December on GitHub

01 January, 2019
2 min to read

Most Trending Jupyter Notebooks of December on GitHub

Here is a list of 25 most trending Jupyter Notebooks on GitHub as for December, 2018. You may also query GitHub to fetch the latest results.

#1 GokuMohandas / practicalAI

A practical approach to learning machine learning. ★ 11,896 per month

#2 fengdu78 / lihang-code

Code Implementation of Statistical Learning Methods. ★ 2,887 per month

#3 trekhleb / homemade-machine-learning

Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained. ★ 2,819 per month

#4 fastai / fastai

The fastai deep learning library, plus lessons and and tutorials. ★ 726 per month

#5 ageron / handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. ★ 669 per month

#6 huggingface / pytorch-pretrained-BERT

A PyTorch implementation of Google AI’s BERT model provided with Google’s pre-trained models, examples and utilities. ★ 658 per month

#7 ctgk / PRML

PRML algorithms implemented in Python. ★ 530 per month

#8 torchgan / torchgan

Research Framework for easy and efficient training of GANs based on Pytorch. ★ 574 per month

#9 udacity / deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program. ★ 322 per month

#10 jakevdp / PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks. ★ 382 per month

#11 SophonPlus / ChineseNlpCorpus

Collect, organize, and publish Chinese natural language processing data sets to promote the development of Chinese natural language processing. ★ 391 per month

#12 slundberg / shap

A unified approach to explain the output of any machine learning model. ★ 341 per month

#13 dennybritz / reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton’s Book and David Silver’s course. ★ 284 per month

#14 MLEveryday / practicalAI-cn

Chinese version of practicalAI. ★ 287 per month

#15 ljpzzz / machinelearning

Blogs and code for machine learning. ★ 240 per month

#16 AtsushiSakai / PythonRobotics

Python sample codes for robotics algorithms. ★ 270 per month

#17 AtsushiSakai / PythonRobotics

Pytorch handbook is an open source book that aims to help those who want to use PyTorch for deep learning development and research. ★ 233 per month

#18 pytorch / vision

Datasets, Transforms and Models specific to Computer Vision. ★ 172 per month

#19 awslabs / amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker. ★ 163 per month

#20 mjbahmani / 10-steps-to-become-a-data-scientist

Ready to learn! you will learn 10 skills as data scientist:📚 Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano…., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices. ★ 128 per month

#21 mwouts / jupytext

Jupyter notebooks as Markdown documents, Julia, Python or R scripts. ★ 151 per month

#22 GoogleCloudPlatform / training-data-analyst

Labs and demos for courses for GCP Training. ★ 112 per month

#23 WillKoehrsen / Data-Analysis

Data Analysis Using Python. ★ 106 per month

#24 xianhu / LearnPython

For those who learns Python. ★ 114 per month

#25 tensorflow / docs

TensorFlow documentation. ★ 92 per month

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