Stars
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
brukg / xfeat
Forked from verlab/accelerated_featuresDo you need robust and fast local feature extraction? You are in the right place!
Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)
C++ library based on tensorrt integration
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
OpenMMLab Foundational Library for Training Deep Learning Models
2025中国翻墙软件VPN推荐以及科学上网避坑,稳定好用。对比SSR机场、蓝灯、V2ray、老王VPN、VPS搭建梯子等科学上网与翻墙软件,中国最新科学上网翻墙梯子VPN下载推荐,访问Chatgpt。
提供多款 Shadowrocket 规则,带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
OpenMMLab course index and stuff
Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"
Attentional graph neural network for parking slot detection
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
😘 让你“爱”上 GitHub,解决访问时图裂、加载慢的问题。(无需安装)
An open source software stack for Real-Time Strategy research on mobile robots
《利用Python进行数据分析·第2版》
[IEEE TMI] Official Implementation for UNet++
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
OpenMMLab's next-generation platform for general 3D object detection.
Official implementation of YOGO for point-cloud processing