A latent text-to-image diffusion model

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

Python programs, usually short, of considerable difficulty, to perfect particular skills.

A guidance language for controlling large language models.

A scikit-learn compatible neural network library that wraps PyTorch

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!

Collection of useful machine learning codes and snippets (originally intended for my personal use)

JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

BM-MAE: Multimodal Masked Autoencoder Pre-training for 3D MRI-based Brain Tumor Analysis with Missing Modalities

Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

A repository where you learn the basics for detecting objects, keypoints and making segmentation on images