Data Infrastructure providing an approach to multimodal AI workloads
From-scratch PyTorch implementation of Google's TurboQuant
Modular Deep Reinforcement Learning framework in PyTorch
An Easy-to-use, Scalable and High-performance RLHF Framework
A Python framework for creating reproducible, maintainable code
Python based web automation tool. Powerful and elegant
The no-nonsense RAG chunking library
Wan2.2: Open and Advanced Large-Scale Video Generative Model
A carefully crafted, thoroughly tested, optimized companion library
Algorithms for outlier, adversarial and drift detection
Bringing Http/Https and WebSockets High Performance servers for PyPy3
AI framework to autonomously improve the performance of any AI system
Self-evolving AI agent framework for automated workflows
An AI agent that automatically builds AI models
Cosmos-RL is a flexible and scalable Reinforcement Learning framework
Unsupervised Learning for Image Registration
Build multimodal AI applications with cloud-native stack
Test-Time Reinforcement Learning
A simple yet powerful agent framework that delivers with models
Minimal reproduction of OneRec
Automated framework for asset discovery and vulnerability scanning
AI-powered framework for automated penetration testing and red teaming
Automated framework for web application reconnaissance and scanning
Language Model Reinforcement Learning Environments frameworks
Python inference and LoRA trainer package for the LTX-2 audio–video