⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

NYU Deep Learning Spring 2020

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Bayesian optimization in PyTorch

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

Machine Learning in Asset Management (by @firmai)

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

FSGAN - Official PyTorch Implementation

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

High-quality Neural Networks for Computer Vision 😎

Convergent Cross Mapping in Scikit Learn's style

gradient-free act max for visual neurons

Empirical dynamic modeling in scikit-learn's style

A repository for working with project organization strategies in the context of remote sensing and jupyter notebooks.

FSGAN - Official PyTorch Implementation