Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
Unified framework for building enterprise RAG pipelines with small, specialized models
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
Low-code framework for building custom LLMs, neural networks, and other AI models
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
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 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.
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 β 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.
ModelScope: bring the notion of Model-as-a-Service to life.
Deep universal probabilistic programming with Python and PyTorch
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
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.
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.
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
Native MLX runtime for Laya typed decision models β 7β14 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
Fara1.5 β A family of frontier computer use agent models
A treasure chest for visual classification and recognition powered by PaddlePaddle
A PyTorch native platform for training generative AI models
Model interpretability and understanding for PyTorch
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.
Robust recipes to align language models with human and AI preferences
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A Next-Generation Training Engine Built for Ultra-Large MoE Models
The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.
Zep | Examples, Integrations, & More
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/
Auto detecting, masking and inpainting with detection model.
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.
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
Pre-trained Deep Learning models and demos (high quality and extremely fast)
MS-Agent: a lightweight framework to empower agentic execution of complex tasks
Optimizing inference proxy for LLMs
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Generate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
A library for mechanistic interpretability of GPT-style language models
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.
Everything about the SmolLM and SmolVLM family of models
HeartMuLa Official Repo: The Most Powerful Open-Source Music Generation Model of 2026
The best OSS video generation models, created by Genmo
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
β‘FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
Constraint-based geometry sketcher for blender
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
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.
Open-source inference server and production cluster for all the models your agent needs.
OneTrainer is a one-stop solution for all your Diffusion training needs.
The machine learning toolkit for time series analysis in Python
django-reversion is an extension to the Django web framework that provides version control for model instances.
Security scanner for AI agents, MCP servers and agent skills.