Computer Vision

Open Source Computer Vision Library

List of Computer Science courses with video lectures.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Learn AI Engineering! Learn it. Build it. Ship it for others.

12 Weeks, 24 Lessons, AI for All!

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

We write your reusable computer vision tools. 💜

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

500 AI Machine learning Deep learning Computer vision NLP Projects with code

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

NVR with realtime local object detection for IP cameras

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

OpenMMLab Detection Toolbox and Benchmark

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

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

deep learning for image processing including classification and object-detection etc.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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

Image-to-Image Translation in PyTorch

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Learn OpenCV : C++ and Python Examples

CVPR 2026 论文和开源项目合集

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

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

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Datasets, Transforms and Models specific to Computer Vision

Instant neural graphics primitives: lightning fast NeRF and more

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.

Your new Mentor for Data Science E-Learning.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Open-source simulator for autonomous driving research.

A toolkit for making real world machine learning and data analysis applications in C++

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Face recognition using Tensorflow

An open source implementation of CLIP.

COLMAP - Structure-from-Motion and Multi-View Stereo

Node-based Visual Programming Toolbox

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A MNIST-like fashion product database. Benchmark :point_down:

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理