Alternatives and similar repositories for improved-bagan-gp

Users that are interested in improved-bagan-gp are comparing it to the libraries listed below

• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆120Updated 4 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆29Updated 3 years ago
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• tufts-ml / GAN-Ensemble-for-Anomaly-Detection
  This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
  ☆40Updated 4 years ago
• ayaanzhaque / EC-GAN
  EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
  ☆39Updated 4 years ago
• fabiocarrara / cbigan-ad
  Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
  ☆40Updated 3 years ago
• sandeep-189 / Data-Augmentation
  Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets
  ☆14Updated last year
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆29Updated 3 years ago
• Lornatang / WassersteinGAN_GP-PyTorch
  Improved training of Wasserstein GANs
  ☆46Updated 4 years ago
• Nidhi08 / GANs-for-imbalanced-data-generation
  ☆17Updated 6 years ago
• rohban-lab / Salehi_submitted_2020
  This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…
  ☆19Updated 2 years ago
• AhmedFrikha / Few-Shot-One-Class-Classification-via-Meta-Learning
  A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification
  ☆37Updated 3 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆102Updated 6 years ago
• pranjaldatta / Denoising-Autoencoder-in-Pytorch
  A Pytorch Implementation of a denoising autoencoder.
  ☆46Updated 6 years ago
• tbw162 / AA-BiGAN
  Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
  ☆22Updated 2 years ago
• YeongHyeon / adVAE
  Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
  ☆21Updated 4 years ago
• yj-zhou / Feature_Encoding_with_AutoEncoders_for_Weakly-supervised_Anomaly_Detection
  ☆46Updated 4 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆57Updated 2 months ago
• zwzhang123 / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• Anton-Cherepkov / gnn-mnist-classification
  Image classification using Graph Neural Networks (GNNs) with MNIST dataset
  ☆44Updated 2 years ago
• lenalee103 / Aggregates-Database-based-on-ACGAN
  improved by ACWGAN-gp
  ☆10Updated 5 years ago
• munhouiani / GEE
  Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
  ☆28Updated 3 years ago
• glederrey / DATGAN
  Directed Acyclic Tabular GAN (DATGAN) for integrating expert knowledge in synthetic tabular data generation
  ☆16Updated 11 months ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆72Updated 4 years ago
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• anirudhshenoy / pseudo_labeling_small_datasets
  Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…
  ☆74Updated 5 years ago
• mlopezm / Supervised-contrastive-learning-over-prototype-label-embeddings
  Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"
  ☆15Updated 4 years ago
• Jityan / SCLfewshot
  The code for "SCL: Self-supervised contrastive learning for few-shot image classification"
  ☆17Updated last year
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 4 years ago
• YeongHyeon / Skip-GANomaly
  Implementation of Skip-GANomaly with MNIST dataset
  ☆11Updated 5 years ago