A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

official repo of CubeLearn (IOT-J 2023)

Rodar: Robust Gesture Recognition Based on mmWave Radar Under Human Activity Interference

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

ROS node for capturing raw ADC I/Q samples from Texas Instruments (TI) mmWave radars (xWR1843, xWR6843, xWR2944, xWR1843AOP, xWR6843AOP)

A point cloud dataset for mmWave radar human activity recognition.

TI mmWave radar ROS driver (with sensor fusion and hybrid)

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)

Libraries and usage example for our MMFi Dataset

Human Activity Recognition from Point Clouds Generated through a Millimeter-wave Radar

包含通过iwr6843isk收集的6类人体活动的bag数据，包含将iwr6843isk录制的ROS包解析成txt文件并且拆分训练集和测试集的程序

Read IWR6843ISK sensor serial data using Python

Basic Gesture Recognition Using mmWave Sensor - TI AWR1642

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

The PyTorch implementation of STGCN.

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation