A Human Indoor Behavior Exclusive RF dataset

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily conf…

Gait Based User Recognition from mmWave Radar Data

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

Implementation of the Point Transformer layer, in Pytorch

Detect (classify and localize) people, pets and objects using millimeter-wave radar.

Offering recent HAR papers collection

A curated list of radar datasets, detection, tracking and fusion

Open3D: A Modern Library for 3D Data Processing

object tracking based on millimeter wave radar

Codes and template data for paper "Experiments with mmWave Automotive Radar Test-bed"

used for mmwave radar speed extending research

Pythonic mmWave Toolbox for TI's IWR Radar Sensors

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Record my work in transfer learning during my postgraduate period.

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

A collection of AWESOME things about domian adaptation

Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"

Image augmentation for machine learning experiments.

A list of papers and datasets about point cloud analysis (processing)

Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation (ICCV 2021)

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.

Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition