Code for the paper Language Models are Unsupervised Multitask Learners
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
Pruna is a model optimization framework built for developers
Python framework for building scalable multi-agent systems
agentUniverse is a LLM multi-agent framework
Azure Quantum Development Kit
Build high-quality LLM apps
A Pythonic framework to simplify AI service building
A unified framework for machine learning with time series
Arch based, Modern, Midweight, Practical, Experimental, AMD, Szmelc
Experimental Julia implementation of the Amazon Braket SDK
WAFW00F allows one to identify and fingerprint Web App Firewall
Independent set of GDScript tools - parser, linter and formatter
Django application and library for importing and exporting data
Pretrained model hub for Keras 3
Open-source observability for your LLM application
Framework for rapid prototyping and development of real-time rendering
The right way to check the weather
A Rust HTTP server for Python applications
Make your own running home page
Meridian is an MMM framework
HexStrike AI MCP Agents is an advanced MCP server
text and image to video generation: CogVideoX (2024) and CogVideo
Code for the paper "Evaluating Large Language Models Trained on Code"
Tool for exploring and debugging transformer model behaviors