Deep Learning for humans

scikit-learn: machine learning in Python

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 ;)

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.

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

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.

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

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

Your new Mentor for Data Science E-Learning.

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

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Topic Modelling for Humans

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

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

Streamlit — The fastest way to build data apps in Python

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

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

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

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

Best Practices on Recommendation Systems

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

OpenRefine is a free, open source power tool for working with messy data and improving it

Statistical data visualization using matplotlib

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

Open Machine Learning Course

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

🦉Data Version Control | Git for Data & Models