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A guidance language for controlling large language models.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Open standard for machine learning interoperability
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Agent Skills for Google products and technologies
Minimalist ML framework for Rust
High performance coding agent harness written in rust
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Development repository for the Triton language and compiler
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
open-source agentic AI data assistant for the next generation of AI + Data products.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Toolkit for linearizing PDFs for LLM datasets/training
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
A TTS model capable of generating ultra-realistic dialogue in one pass.
Open source agentic operating system
Train transformer language models with reinforcement learning.
State-of-the-Art Embeddings, Retrieval, and Reranking
High-performance In-browser LLM Inference Engine
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
The LLM Evaluation Framework