Showing 201-220 of 848 projects
A self-supervised learning framework for computer vision tasks with a focus on contrastive learning.
A tutorial repository for learning PyTorch, covering computer vision, NLP, and deep learning model deployment.
A large-scale non-linear optimization library for computer vision and other scientific applications.
OpenCV bindings for Node.js, enabling computer vision and image processing in Node applications.
LightGlue is a high-performance local feature matching library for computer vision tasks like pose estimation.
Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
A curated list of papers and resources for 3D reconstruction from images, useful for computer vision and motion estimation.
This project reproduces the book 'Dive Into Deep Learning' by adapting the code from MXNet into PyTorch.
An open-source, camera-only framework for autonomous driving perception tasks like 3D object detection and semantic map segmentation.
A collection of AI-powered projects, including machine learning, deep learning, and generative AI, for developers.
The official DeiT repository for a PyTorch-based vision transformer model for image classification.
A curated list of awesome data labeling tools for developers working with AI and computer vision.
A real-time, trimap-free portrait matting solution using AI and computer vision techniques.
A Python library for controllable and consistent human image animation with 3D parametric guidance
A one-key script for building a proxy server with ArgoSBX, supporting multiple protocols and environments.
A curated list of action recognition and related area resources for developers working with computer vision and video processing.
An open-source, vision-first browser agent for automation and testing with AI tools.
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
RAFT is a PyTorch library for training and evaluating visual transformers, a popular AI model for computer vision tasks.
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