FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
Pestinha é um pet virtual de desktop para Windows, com rede neural pulsada, emoções e personalidade que evolui com o usuário. Ele aprende com carinho e consequências, faz travessuras, brinca, trabalha e reage ao ambiente. Tudo funciona localmente, sem depender da nuvem.
🤗 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.
Build Real-Time Knowledge Graphs for AI Agents
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
Faster Whisper transcription with CTranslate2
AgenticX is a unified, production-ready multi-agent platform — 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).
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
a systemone proxy using embeddings that distills a teacher model
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
A straightforward method for training your LLM, from downloading data to generating text.
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.
This is the official repo for paper InteractiveWorld A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Repository for Timestral, the time-series foundation model by Mistral AI
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A practical hardware and software setup for a compact RL-powered biped robot.
Concept Brittleness
Whole-body motion tracking for the Unitree G1 in about 3 minutes on one GPU: return 0.82 with 0/40 clips failed at the first checkpoint for all seeds, >=10.9x faster than SuperMimic + EMA; 3.2 min with fine checkpoints, 2.74 min without LR annealing (world model + Muon + overlapped CUDA streams, mjlab)
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
vibe coded supermimic within 1h, LAFAN passed within 1.5 gpuh training
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
🤗 smolagents: a barebones library for agents that think in code.
TavernGym and TavernBench: a faithful, full-content Hearthstone Battlegrounds simulator with an RL interface, and a 960-task decision benchmark. Code and data for "Build, Don't Play".
Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks
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.
Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Reference PyTorch implementation and models for DINOv3
QuantMind(量化大脑)开源版是一款面向个人开发者与投研团队的 AI 原生多市场量化交易平台。深度集成微软 Qlib、RD-Agent 因子演化与 QuantBot全能工作台,提供从 300+ 维因子挖掘、13 种机器学习与深度学习模型工场、Qlib 高性能回测、截面批量推理、7x24 实时舆情情绪分析,到通达信深度联动(板块推送/预警雷达/闪电下单)与实盘模拟交易的完整闭环。支持 A股、港股、美股、期货及区块链。可免费商用,系统采用 Docker Compose 一键私有化部署,数据与模型完全本地化,保障策略隐私,功能零门槛无限制。
Learn ML engineering for free in 4 months! Register here 👇🏼
The fastai book, published as Jupyter Notebooks
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.
Our lightning-fast inference engine.
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A small, fast decision model, or system one model, for agentic workflows. Pick between options or rate on a scale faster than an LLM, with a calibrated confidence on every decision.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
Official Project Page for Recurrent Looped Transformer (RLT) (https://arxiv.org/abs/2610.07591)
NVIDIA FastGen: Fast Generation from Diffusion Models
Process all your context faster with LLMs that can skim and selectively read what matters
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Build LLM-powered applications in Ruby
declarative self-improving language-model programs for Elixir 😇
Local Spring Boot web workbench that drives LeRobot record, train, eval, and dataset steps through ROS with a mock bus by default.
Romanian and Ukrainian child-safety structured-check toolkit and synthetic research records