Hermes Agent context engine: the main model writes the compaction handoff on its cached prompt prefix
Ontology-driven WorkBuddy skill for requirements discovery, domain modeling, and app generation | WorkBuddy 需求探索、本体建模与领域应用生成器
Nexus — execution infrastructure for AI agents. Host agents in the cloud or behind NAT; let users attach and authorize their own computers and Android phones. Deploy once, work across devices. Python SDK · MCP · Shared run context · Browser, terminal and files · Built-in chat UI · Model routing.
Code for Test-Time Compute for Humanoid Behavior Foundation Models
Official implementation of “Harness Optimization for Agentic Multi-Reference Image Generation”
Models and examples built with TensorFlow
Making large AI models cheaper, faster and more accessible
Universal LLM Deployment Engine with ML Compilation
🚀 自托管的抖音、TikTok、B 站数据采集与无水印视频下载 API,支持 AI agent 通过 MCP 调用与离线语音转文字,Docker 一键部署。| Self-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Machine Learning Engineering Open Book
Ongoing research training transformer models at scale
Datasets, Transforms and Models specific to Computer Vision
An open source implementation of CLIP.
Access large language models from the command-line
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
A PyTorch-based Speech Toolkit
Statsmodels: statistical modeling and econometrics in Python
A framework to enable a multimodal model to operate a computer.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Open source MCP Servers for AWS
Accessible large language models via k-bit quantization for PyTorch.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Open Vision Agents by Stream. Build voice and vision agents quickly with any model or video provider. Uses Stream's edge network for ultra-low latency.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Tools for merging pretrained large language models.
Building AI agents, atomically
Fast and Accurate Code Search for Agents. Uses 99% fewer tokens than grep+read
SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.
Uplift modeling and causal inference with machine learning algorithms
A python parametric CAD scripting framework based on OCCT
General plug-and-play inference library for Recursive Language Models (RLMs), supporting various sandboxes.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
Probabilistic time series modeling in Python
Train the smallest LM you can that fits in 16MB. Best model wins!
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
Simplify your onnx model
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
NeuralProphet: A simple forecasting package
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
LTX-Video Support for ComfyUI
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
Trackers gives you clean, modular re-implementations of leading multi-object tracking algorithms released under the permissive Apache 2.0 license. You combine them with any detection model you already use.
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP/A2A Support
Mastering Diverse Domains through World Models
Generative models for conditional audio generation
Welcome to GR00T Whole-Body Control (WBC)! This is a unified platform for developing and deploying advanced humanoid controllers. This includes: Decoupled WBC models used in NVIDIA Isaac-Gr00t, Gr00t N1.5 and N1.6 and GEAR-SONIC
Synthetic data generation for tabular data
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Python Toolkit for Causal and Probabilistic Reasoning
A local MCP server for agent literature work. Original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk. Search is optional.
Control Ableton Live with any LLM: create tracks, arrange clips & compose music via MCP
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
A general fine-tuning kit geared toward image/video/audio diffusion models.
Lightweight Image Video Action Generation Inference Framework