Python Data Science Handbook: full text in Jupyter Notebooks

A game theoretic approach to explain the output of any machine learning model.

A scikit-learn compatible neural network library that wraps PyTorch

A Code-First Introduction to NLP course

Algorithms for outlier, adversarial and drift detection

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

StyleGAN2-ADA - Official PyTorch implementation

A collection of Jupyter notebooks to play with NVIDIA's StyleGAN3 and OpenAI's CLIP for a text-based guided image generation.

Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning 📊

WSDM 2021 Tutorial on Advances in Bias-aware Recommendation on the Web