GH920 / improved-bagan-gpLinks
Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
☆40Updated 3 years ago
Alternatives and similar repositories for improved-bagan-gp
Users that are interested in improved-bagan-gp are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆120Updated 4 years ago
- GANs for class imbalanced problems☆29Updated 3 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Updated 4 years ago
- Creating tabular GAN on credit card dataset☆20Updated 5 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)☆39Updated 4 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Updated 3 years ago
- here is the introduce of bls☆72Updated 4 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated 2 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 3 years ago
- ☆46Updated 4 years ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆21Updated 4 years ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Updated last year
- A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification☆37Updated 3 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆55Updated 3 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…☆29Updated 7 years ago
- ☆17Updated 6 years ago
- Python code for abnormal detection using Support Vector Data Description (SVDD)☆207Updated last year
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆150Updated 6 years ago
- My PyTorch implementation of Deep SVDD for Anomaly Detection☆30Updated 5 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- This is my PyTorch implementation of BiGAN☆14Updated 5 years ago
- ☆54Updated 6 years ago
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- ☆210Updated 2 years ago
- Open-set Recognition with Adversarial Autoencoders☆39Updated 6 years ago
- Image classification using Graph Neural Networks (GNNs) with MNIST dataset☆44Updated 2 years ago