Awesome Opensource Ai

Open Source Computer Vision Library

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

12 Weeks, 24 Lessons, AI for All!

We write your reusable computer vision tools. 💜

Cross-platform, customizable ML solutions for live and streaming media.

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Datasets, Transforms and Models specific to Computer Vision

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Open-source simulator for autonomous driving research.

An open source implementation of CLIP.

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

🐍 Geometric Computer Vision Library for Spatial AI

Point Cloud Library (PCL)

Fast and Accurate ML in 3 Lines of Code

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

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.

Webots Robot Simulator

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

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

A flexible, high-performance 3D simulator for Embodied AI research.

Superfast AI decision making and intelligent processing of multi-modal data.

Train, inspect, edit, automate, and export 3D Gaussian Splatting scenes from a single native application.