Access large language models from the command-line
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
The ultimate training toolkit for finetuning diffusion models
A straightforward method for training your LLM, from downloading data to generating text.
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A PyTorch-based Speech Toolkit
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Statsmodels: statistical modeling and econometrics in Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, point cloud and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
Build, Manage and Deploy AI/ML Systems
A framework to enable a multimodal model to operate a computer.
Agent skill that turns natural language, code, Terraform/K8s, SQL, OpenAPI, AsyncAPI, Protobuf and GraphQL sources into editable, tested draw.io architecture diagrams: incremental sync, multi-view projection, drift diff, CI architecture tests, whiteboard derasterize, interactive HTML/PPTX/Mermaid exports.
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
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.
๐ 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
RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
Bayesian Modeling and Probabilistic Programming in Python
Official Python inference and LoRA trainer package for the LTX-2 audioโvideo generative model.
Open source MCP Servers for AWS
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 โ all through one unified, production-ready inference API.
The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
๐ Train a 65M-parameter VLM from scratch in just 2h!
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 Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
โก TabPFN: Foundation Model for Tabular Data โก
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
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 .
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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.
A trilingual (็นไธญ / English / ็ฎไธญ) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. ไธญๆ AI agent ๅญธ็ฟๅฐๅใ
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.
Adding guardrails to large language models.
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.
Open-source observability for your GenAI or LLM application, based on OpenTelemetry
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Tools for merging pretrained large language models.
A framework for efficient model inference with omni-modality models
Data processing for and with foundation models! ๐ ๐ ๐ฝ โก๏ธ โก๏ธ๐ธ ๐น ๐ท
OpenSquilla โ Token-Efficient AI Agent with same budget, higher intelligence density
Native MLX runtime for Laya typed decision models โ 7โ14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.
Example models using DeepSpeed
CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
FunASR-powered video transcription, subtitle generation, and LLM-assisted clipping tool with a local Gradio UI.
Programmatic access to Gemini Notebook - via command-line interface (CLI), Model Context Protocol (MCP) server, and AI agent skills.