1Panel-dev / laya-server

A self-hosted API and web interface for Laya’s structured decision models, compatible with the TypeSafe Jev API format.

DexForce / UNITAS

Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation

Dryxio / gta-scout

Create GTA-style 3D models and scenes with your AI and Blender, using models and textures from your game. Early alpha.

LeapLabTHU / Simple-WAM

Official implementation of "What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling"

ZeamoxWang / pdmd

Official Training and Benchmarking Implementation of PDMD: Projected Distribution Matching Distillation for Video Diffusion Models

birla-ai-labs / yug

Yug: a foundation model for zero-shot probabilistic time-series forecasting

meta-models / muse-code-sdk

SDK and documentation for how to programmatically control Muse Code.

AlayaLab / PROWBench

PROWBench: evaluating whether video models faithfully render what a program specifies.

drJhonatan00 / Game_Translation_Pipeline

A high-performance, offline game translation framework built in Python. Powered by CTranslate2 (INT8 quantization) and Helsinki-NLP neural models, this tool automates multi-language translation for game scripts while strictly protecting low-level syntax, variables, and memory pointers.

intel / gpu-ai-skills

Agent Skills for running, benchmarking, and profiling Hugging Face models on Intel GPUs — PyTorch, vLLM-XPU, and SGLang-XPU

PsiACE / dohnuts

Dohnuts builds small multimodal models for direct decisions. -> System One model

SyphoDev-yt / roblox-ai-skills

Free Claude Code skills for making Roblox games with AI: code, UI, maps, 3D models, VFX, SFX, animation. From the SyphoDev YouTube channel.

davidalmeida90 / quant-models

Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com

google / langextract

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

microsoft / unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

llmware-ai / llmware

Unified framework for building enterprise RAG pipelines with small, specialized models

ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

wandb / wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

yzhao062 / pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

xorbitsai / inference

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

modelscope / modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

zilliztech / deep-searcher

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

MaartenGr / BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Azure-Samples / azure-search-openai-demo

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

open-compass / opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.

mizorewww / laya-mlx

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

deepspeedai / DeepSpeedExamples

Example models using DeepSpeed

microsoft / fara

Fara1.5 – A family of frontier computer use agent models

PaddlePaddle / PaddleClas

A treasure chest for visual classification and recognition powered by PaddlePaddle

pytorch / torchtitan

A PyTorch native platform for training generative AI models

maziyarpanahi / openmed

Local-first healthcare AI: clinical NER and HIPAA PII de-identification on hardware you control. 2,200+ medical models, 35 model-backed PII languages, and Python, MLX, Android and browser runtimes. Apache-2.0 SDK.

huggingface / alignment-handbook

Robust recipes to align language models with human and AI preferences

Blaizzy / mlx-vlm

MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

facebookresearch / mmf

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

InternLM / xtuner

A Next-Generation Training Engine Built for Ultra-Large MoE Models

transformerlab / transformerlab-app

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

dpgaspar / Flask-AppBuilder

Simple and rapid application development framework, built on top of Flask. includes detailed security, auto CRUD generation for your models, google charts and much more. Demo (login with guest/welcome) - http://flaskappbuilder.pythonanywhere.com/

PINTO0309 / PINTO_model_zoo

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.

kyegomez / tree-of-thoughts

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

EvolvingLMMs-Lab / lmms-eval

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

open-compass / VLMEvalKit

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

openvinotoolkit / open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

modelscope / ms-agent

MS-Agent: a lightweight framework to empower agentic execution of complex tasks

algorithmicsuperintelligence / optillm

Optimizing inference proxy for LLMs

datamodel-code-generator / datamodel-code-generator

Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.

TransformerLensOrg / TransformerLens

A library for mechanistic interpretability of GPT-style language models

huggingface / smollm

Everything about the SmolLM and SmolVLM family of models

genmoai / mochi

The best OSS video generation models, created by Genmo

RUC-NLPIR / FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

alibaba / ROLL

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

luigifreda / pyslam

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.

superlinked / sie

Open-source inference server and production cluster for all the models your agent needs.

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

containers / ramalama

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.

swirlai / swirl-search

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

illuin-tech / colpali

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

NVlabs / LongLive

Long Video Gen / World Model / World Action Model (Embodied) Infrastructure

autodistill / autodistill

Images to inference with no labeling (use foundation models to train supervised models).

intel / neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

roboflow / maestro

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL