Apache Superset is a Data Visualization and Data Exploration Platform

incubator-superset

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-229-machine-learning

gensim

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-datascience

The fastai book, published as Jupyter Notebooks

fastbook

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

spaCy

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-ipython-notebooks

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)  

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

Deep learning library featuring a higher-level API for TensorFlow.

tflearn

Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

dash

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-bigdata

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Awesome-pytorch-list

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

ipython

The "Python Machine Learning (1st edition)"  book code repository and info resource

python-machine-learning-book

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Your new Mentor for Data Science E-Learning.

Virgilio

An open-source NLP research library, built on PyTorch.

allennlp

Streamlit — The fastest way to build data apps in Python

streamlit

Dive into Machine Learning with Python Jupyter notebook and scikit-learn!

dive-into-machine-learning

keras

scikit-learn

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ML-From-Scratch

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.