🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

We have made you a wrapper you can't refuse

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

ThetaGang is an IBKR bot for collecting money

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

🐍 Python package for Open Food Facts

PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io

Game of life simulation used in my Youtube video

Picterra Python API Client

Generate and recommend recipes based on photos of your fridge

Deep neural networks have garnered tremendous excitement in recent years thanks to their superior learning capacity in the presence of abundant data resources. However, collecting an exhaustive dat…