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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. 💜
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Automate browser based workflows with AI
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.
🐍 Geometric Computer Vision Library for Spatial AI
Fast and Accurate ML in 3 Lines of Code
Image processing in Python
A system for quickly generating training data with weak supervision
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Accelerated deep learning R&D
OpenMMLab Foundational Library for Training Deep Learning Models
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Build fully-functioning computer vision models with PyTorch
Image quality is an open source software library for Image Quality Assessment (IQA).
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Upload once to create multiple, relative PRs. Productivity-focused git tools with patch revision tracking, rebase detection and more. Uses python and git plumbing commands.
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite