Python framework for recursive, task-level and harness-level optimization of agent harnesses around fixed LLM weights, tested on professional benchmarks.
π Geometric Computer Vision Library for Spatial AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A Unified Framework for Efficient RSI Research
An agent runtime and tool protocol for principled agent concurrency
An NES CPU compiled into the weights of a stock Qwen3.5 model
Neural Networks: Zero to Hero
Flash world model for real-time interactive video generation from a first frame, text prompt, and camera controls, targeting NPUs.
π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
AgenticX is a unified, production-ready multi-agent platform β Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).
[SIGGRAPH Asia 2026] UniMate: One Unified Model to Animate Diverse Skeletons
a systemone proxy using embeddings that distills a teacher model
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Here is a dlssg for RTX30 Series GPU
Skill training with a corruption and reconstruction loop: train an agent's skill library, not its weights.
SGLang is a high-performance serving framework for large language models and multimodal models.
π€ LeRobot: Making AI for Robotics more accessible with end-to-end learning
Repository for Timestral, the time-series foundation model by Mistral AI
Official inference framework for 1-bit LLMs
Mundo: Customized World Model
Native vLLM serving for Jev decision models
Graph-Native Infrastructure for Context and Accountable AI Systems
Hy-Nomas: Towards Free-form Interactive World Generation
scikit-learn: machine learning in Python
Learn how to develop, deploy and iterate on production-grade ML applications.
DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
Optimize prompts, code, and more with AI-powered Reflective Optimization
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
π§ Unified and Stable RSI Platform
Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp
Open Frontier Biomolecular Intelligence
A framework for continual learning and recursive self-improvement through harness adapter evolution.
We write your reusable computer vision tools. π
Build distributed, production-grade, long-running agents.
[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe
Google Research
RSI-Anything: Unlocking Recursive Self-Improvement with World Models
An autonomous agent that profiles, optimizes, and validates AI training code.
SuperMimic-UniLab: An Independent reproduction of SuperMimic on UniLab for whole-body humanoid motion tracking.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.
Generative biopolymer design with rich conditioning.
FinGPT: Open-Source Financial Large Language Models! Revolutionize π₯ We release the trained model on HuggingFace.
Reference PyTorch implementation and models for DINOv3
The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
The Modular Platform (includes MAX & Mojo)
GRAVA: A Unified Grounded Reasoning-to-Action Framework for Autonomous Driving. Project overview.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
OpenVINOβ’ is an open source toolkit for optimizing and deploying AI inference
A machine learning accelerator core designed for energy-efficient AI at the edge.
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.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG