DeepInfer: High-performance, large-scale inference framework for DeepSeek models
Node-graph GUI and Python backend for running diffusion models to generate images, video, 3D, and audio locally.
Agent plugin that generates 3D CAD models (STEP, GLB, STL, 3MF) locally and runs design-for-manufacturing checks and engineering drawings.
Desktop app and CLI that restores mosaics in videos and images using GPU models like BasicVSR++ and LTX.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
JiuwenSwarm is an intelligent AI Agent built on openJiuwen. It extends the powerful capabilities of large language models directly to your fingertips through various communication apps you use daily.
Run 35B MoE models in ~2.5 GB of RAM. Weights stream from SSD; a trained router predicts loads a step ahead. Mac, iPhone, Android, Windows supported
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.
《深入理解 AI Agent:设计原理与工程实践》(李博杰 著)开源主仓库:全书正文、编译版 PDF 与按章配套代码
Open-source text-to-speech library with a 1.7B 1-bit speech model and lightweight ONNX models that run on CPU.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
Official repository for MemT-1.0
SGLang is a high-performance serving framework for large language models and multimodal models.
Fully automatic censorship removal for language models
A faster, leaner fork of the superpowers workflow for Claude Code: one approval gate, parallel waves, routed models. 3.9x faster in benchmark at equal quality.
Build and run agents you can see, understand and trust.
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
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.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
A unified inference and post-training framework for accelerated video generation.
🤗 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.
FreeToken brings datacenter-scale model serving to your desktop. Run massive models locally, fast and efficiently.
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
We propose Prism, a dynamic sparse attention framework for natively training joint video-audio generation models at 2K.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
Wan: Open and Advanced Large-Scale Video Generative Models
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
[NeurIPS 2026] DataFlex: A Unified Benchmark and Evaluation Platform for Data-Centric Training of Large Language Models
From a universe of models to Collective Model Intelligence.
Experiments on whether language models can learn to detect read-only activation probes
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
The ultimate training toolkit for finetuning diffusion models
Blur Labs foundation models for imaging
DSPy: The framework for programming—not prompting—language models
A straightforward method for training your LLM, from downloading data to generating text.
A framework for efficient model inference with omni-modality models
Claude Code skill: four-phase plan hardening (recon, interrogate, Codex adversarial review, cross-model build & inspection) — two AI models harden your plan before a line of code exists, then swap jobs to build it. Whoever built it never grades it.
KiCAD MCP is a Model Context Protocol (MCP) implementation that enables Large Language Models (LLMs) like Claude to directly interact with KiCAD for printed circuit board design.
AssetFurnace: the most complete open-source image-to-3D pipeline (Oct 2026). Prompt or picture → textured, rigged, animated game character, locally on Apple Silicon or NVIDIA. Pixal3D, TRELLIS.2, Hunyuan3D, SF3D, auto-rig and 21 moves. For indie game devs and 3D artists. Free, Apache-2.0.
🔥 On-Policy Self-Distillation in Diffusion Models
The official gpt4free repository | various collection of powerful language models | opus 4.6 gpt 5.3 kimi 2.5 deepseek v3.2 gemini 3
[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Jeva: System One Models from First Principles
Official Code for "Video Diffusion Avatars: Taming Video Diffusion Models into Controllable 3D Avatars"
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Chronos: Pretrained Models for Time Series Forecasting
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Newest, latest and most advanced model that is able to control computers and even more. We're improving that model day by day, so follow up to know and see new models.