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An investigation into radar classification. This project adapts the WaveNet deep learning model to classify radar data directly from the range profiles representation. This technique is compared with the leading approach in the literature of creating micro-Doppler spectrogram images from the data and classifying these images using a CNN.
Pytorch implementation of Adversarial Discriminative Domain Adaptation
Implementation of "Disentangling Style and Content in Anime Illustrations"
Temporal Ensembling for Semi-Supervised Learning
This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.
A collection of AWESOME things about domian adaptation
Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)
A list of papers and datasets about point cloud analysis (processing)
A curated list of radar datasets, detection, tracking and fusion
(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
The Laboratory of Computational Intelligence for RADAR (CI4R)
CS231N Project: Facial Expression Recognition
My Curriculum Vitae
Unsupervised Domain Adaptation Papers and Code
Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
A collection of implementations of deep domain adaptation algorithms
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
An attempt to combine some ideas on generative networks and disentangled representation learning
disentanglement_lib is an open-source library for research on learning disentangled representations.
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.
Experiments for understanding disentanglement in VAE latent representations
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Record my work in transfer learning during my postgraduate period.
This repository contains 9 methods for Base Line Wander removal. It also contains 3 similarity metrics that are applied to signals.
A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG
Counting people and seeing the walls using a TI IWR1642 mmwave Radar
Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.