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adapting-the-wavenet-deep-learning-model-for-radar-classification

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.

adda_pytorch

Pytorch implementation of Adversarial Discriminative Domain Adaptation

adversarial-disentangle

Implementation of "Disentangling Style and Content in Anime Illustrations"

amlproject

Temporal Ensembling for Semi-Supervised Learning

apneaecganalysis

This project includes preprocessing of APNEA-ECG database and a LSTM-RNN model for per-segment OSA detection.

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-fer

Top conferences & Journals focused on Facial expression recognition (FER)/ Facial action unit (FAU)

awesome-point-cloud-analysis

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

awesome-radar-perception

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

cag_uda

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

ci4r-activity-recognition-datasets

The Laboratory of Computational Intelligence for RADAR (CI4R)

cross_domain_gesture_dataset

cs231n_project

CS231N Project: Facial Expression Recognition

curriculum-vitae

My Curriculum Vitae

da

Unsupervised Domain Adaptation Papers and Code

dcp

Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”

deep-multi-view-feature-learning

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

disent

🧶 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

disentangled-representation-learning

An attempt to combine some ideas on generative networks and disentangled representation learning

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

disentanglement_tutorial

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.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

dna-gan

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

domain-adaptation-algorithms

Record my work in transfer learning during my postgraduate period.

dynamic-gesture-recognition-based-on-fmcw

ecg-baselinewander-removal-methods

This repository contains 9 methods for Base Line Wander removal. It also contains 3 similarity metrics that are applied to signals.

ecg-signal-processing

A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG

eecs149-proj

Counting people and seeing the walls using a TI IWR1642 mmwave Radar

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs