Computer vision
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding of digital images and videos.
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Open Source Computer Vision Library
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Dec 16, 2025 - C++
《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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Jul 30, 2024 - Python
List of Computer Science courses with video lectures.
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Dec 14, 2025
Ultralytics YOLO 🚀
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Dec 16, 2025 - Python
12 Weeks, 24 Lessons, AI for All!
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Dec 12, 2025 - Jupyter Notebook
We write your reusable computer vision tools. 💜
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Dec 15, 2025 - Python
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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Aug 3, 2024 - C++
Cross-platform, customizable ML solutions for live and streaming media.
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Dec 16, 2025 - C++
500 AI Machine learning Deep learning Computer vision NLP Projects with code
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Aug 1, 2025
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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Jul 18, 2024
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Aug 18, 2024 - Python
Label Studio is a multi-type data labeling and annotation tool with standardized output format
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Dec 17, 2025 - TypeScript
Image-to-Image Translation in PyTorch
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Aug 6, 2025 - Python
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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Dec 10, 2025 - Python
Learn OpenCV : C++ and Python Examples
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Dec 9, 2025 - Jupyter Notebook
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
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Dec 15, 2025 - C
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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Dec 16, 2025 - Python
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
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Oct 17, 2025 - Python
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。
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Oct 14, 2021 - Jupyter Notebook
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