Open Source Computer Vision Library
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《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。
We write your reusable computer vision tools. 💜
Cross-platform, customizable ML solutions for live and streaming media.
📚 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.
✅（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】
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
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。
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
🐍 Geometric Computer Vision Library for Spatial AI
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Content aware image resize library
Fast and Accurate ML in 3 Lines of Code
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, OpenCV Contrib, and OpenVINO.
Image processing in Python
OpenCV wrapper for .NET
Camera app that freezes fast motion sequences into a single stroboscopic photo; powered by on-device computer vision, 2D stabilization, and manual exposure controls
Accelerated deep learning R&D
Open scientific N-dimensional image processing :microscope: :sparkler: