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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
《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.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
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.
✅（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】
Automate browser based workflows with AI
CVPR 2026 论文和开源项目合集
An efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, POSIX, and OHOS.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Software to automate the management and configuration of infrastructure and applications at scale.
Your new Mentor for Data Science E-Learning.
A toolkit for making real world machine learning and data analysis applications in C++
🐍 Geometric Computer Vision Library for Spatial AI
Visualize, query, and stream to train on multimodal robotics data.
Refine high-quality datasets and visual AI models
Fast and Accurate ML in 3 Lines of Code
Image processing in Python
A system for quickly generating training data with weak supervision