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agoraiotools

anygrasp_sdk

basic-video-call-agora

Sample app to join/leave a channel, mute/unmute, enable/disable the video, and switch between front/rear cameras.

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

datasets-for-heterogeneous-graph

Datasets-for-Heterogeneous-Graph

efficient-ai-backbones

Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

gdn-1

Code implementation for : [Graph Neural Network-Based Anomaly Detection in Multivariate Time Series(AAAI'21)](https://arxiv.org/pdf/2106.06947.pdf)

gnn_fd

Graph Neural network for Fault Diagnosis

hand3d

Network estimating 3D Handpose from single color images

hope

Source code of CVPR 2020 paper, "HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation"

ihoi

intaghand

interhand2.6m

Official PyTorch implementation of "InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image", ECCV 2020

kypt_transformer

license-plate-recognition-by-matlab

基于MATLAB的车牌识别系统

maverick

🏄‍ A static blog generator built with Python.

mianshiya-public

干净免费的面试刷题网站，帮助大家拿到满意的 offer！💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮

minimal-hand-pytorch

PyTorch reimplementation of minimal-hand (CVPR2020)

mtad-gat

Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network

mtad-gat-pytorch

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

mtad_gat

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Network)

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

recplate-lib

基于BP神经网络的车牌识别系统

rolandtate.github.io

blog

segment-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.

sr-hgn

This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Network".

stgat

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.