An ease-to-use and fast library to support RL training for multi-modal generative models

MLX: An array framework for Apple silicon

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

🍦 Never use print() to debug again.

[Ultra Fast&Powerful Diffusion RL] Reinforcing Diffusion Models by Direct Group Preference Optimization

[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

DiffusionNFT: Online Diffusion Reinforcement with Forward Process

A Survey of Reinforcement Learning for Large Reasoning Models

A conda-forge distribution.

Muon is an optimizer for hidden layers in neural networks

Muon is Scalable for LLM Training

Video Generation, Physical Commonsense, Semantic Adherence, VideoCon-Physics

A curated list of recent diffusion models for video generation, editing, and various other applications.

A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.