GAN
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explana…
1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.
GANs for time series generation in pytorch
LSTM-GAN for generate plausible ECG signals
This repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
PyTorch Implementation of Data Augmentation GAN (originally proposed in arXiv:1711.04340)
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Official repository for "Overcoming challenges in leveraging GANs for few-shot data augmentation", accepted to CoLLAs 2022.
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
The proposed idea is to use convolutional neural network (CNN) to classify defects on the semiconductor wafer substrate. There are total 7 classes to be classified. Data augmentation by Generative …
code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"
Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks
The repository is dedicated to Evasion Generative Adversarial Network source code.