# 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*

# Subscribe to the Newsletter

Get my latest posts and project updates by email