Deep Learning for humans
scikit-learn: machine learning in Python
Apache Superset is a Data Visualization and Data Exploration Platform
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,...
💫 Industrial-strength Natural Language Processing (NLP) in Python
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 lear...
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 hyp...
:memo: An awesome Data Science repository to learn and apply for real world problems.
Streamlit — The fastest way to build data apps in Python
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Roadmap to becoming an Artificial Intelligence Expert in 2021