《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。
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Learn AI Engineering! Learn it. Build it. Ship it for others.
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. 💜
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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"
✅（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
🤗 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
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.
A toolkit for making real world machine learning and data analysis applications in C++
Face recognition using Tensorflow
An open source implementation of CLIP.
Node-based Visual Programming Toolbox
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.