Translated《动手学深度学习》 (Dive into Deep Learning): for Chinese readers, runnable, and open to discussion. The Chinese and English editions are used for teaching at more than 500 universities in more than 70 countries.
Repository Index
47,133 repositories indexed
1–24 of 61 · Most stars
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
- yolov8
- yolo
- deep-learning
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
- artificial-intelligence
- attention-mechanism
- transformers
- computer-vision
Image-to-Image Translation in PyTorch
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
- computer-graphics
- computer-vision
- radiance-field
🤗 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.
- video-annotation
- computer-vision
- computer-vision-annotation
- image-annotation
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
- image-annotation
- python
- computer-vision
- annotations
Face recognition using Tensorflow
An open source implementation of CLIP.
- deep-learning
- pytorch
- computer-vision
- language-model
Node-based Visual Programming Toolbox
- photogrammetry
- computer-vision
- 3d-reconstruction
- alicevision
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
- deep-learning
- pytorch
- grad-cam
- visualizations
A MNIST-like fashion product database. Benchmark :point_down:
🐍 Geometric Computer Vision Library for Spatial AI
A collaboration friendly studio for NeRFs
Low-code framework for building custom LLMs, neural networks, and other AI models
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
- segmentation
- image-processing
- pspnet
- unet
Fast and Accurate ML in 3 Lines of Code
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.