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Awesome List
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
GitHub stars and default-branch commits for alvinreal/awesome-opensource-ai.
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Democratizing Reinforcement Learning for LLMs
Model interpretability and understanding for PyTorch
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
Robust recipes to align language models with human and AI preferences
Chronos: Pretrained Models for Time Series Forecasting
Gemma open-weight LLM library, from Google DeepMind
A PyTorch native platform for training generative AI models
🐢 Open-Source Evaluation & Testing library for LLM Agents
Supercharge Your Model Training
SWE-bench: Can Language Models Resolve Real-world Github Issues?
CUDA accelerated rasterization of gaussian splatting
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Astronomy and astrophysics core library
cuML - RAPIDS Machine Learning Library
Probabilistic time series modeling in Python
A Next-Generation Training Engine Built for Ultra-Large MoE Models
The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Ecommerce Search and Discovery - marqo.ai
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
Time series forecasting with PyTorch
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Lightning ⚡️ fast forecasting with statistical and econometric models.
On-device AI across mobile, embedded and edge for PyTorch
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Minimal CLI coding agent by Mistral
Align Anything: Training All-modality Model with Feedback
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
A fast inference library for running LLMs locally on modern consumer-class GPUs
A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.
No description.
Reliable Multi-Agent Orchestration Framework
A fast multimodal LLM for real-time voice
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
LLM training code for Databricks foundation models
Pre-trained Deep Learning models and demos (high quality and extremely fast)
A light-weight, flexible, and expressive statistical data testing library
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
An open source extension that connects AI agents to computational notebooks in JupyterLab.
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Set of tools to assess and improve LLM security.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
[AAAI 2025] EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines
AdalFlow: The library to build & auto-optimize LLM applications.
Optimizing inference proxy for LLMs
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Machine Learning Pipelines for Kubeflow