🤗 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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Open standard for machine learning interoperability

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

Plot data on Google Maps, the easy way.

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

A python implementation of Counterfactual Regret Minimization for poker

Python client for the lichess API

DomRL is a simulation environment for the card game Dominion, created by Donald X Vaccarino, meant to simplify the development and testing of various AI strategies, specifically Reinforcement Learn…

Core files of SPNz

Convolutional neural network for playing generals.io

Project for CSC2548: Machine Learning for Computer Vision