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
• ayaanzhaque / EC-GAN
  EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
  ☆39Updated 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.
  ☆39Updated 3 years ago
• YeongHyeon / adVAE
  Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
  ☆21Updated 4 years ago
• tbw162 / AA-BiGAN
  Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
  ☆22Updated 2 years ago
• Nidhi08 / GANs-for-imbalanced-data-generation
  ☆17Updated 6 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆29Updated 3 years ago
• yj-zhou / Feature_Encoding_with_AutoEncoders_for_Weakly-supervised_Anomaly_Detection
  ☆46Updated 4 years ago
• fabiocarrara / cbigan-ad
  Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
  ☆40Updated 3 years ago
• Anton-Cherepkov / gnn-mnist-classification
  Image classification using Graph Neural Networks (GNNs) with MNIST dataset
  ☆43Updated 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
• 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
• 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
• sandeep-189 / Data-Augmentation
  Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets
  ☆14Updated last year
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 6 years ago
• munhouiani / GEE
  Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
  ☆28Updated 3 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆57Updated 2 weeks ago
• marzekan / EC-GAN_NIDS
  Application of novel EC-GAN method on Network Intrusion Detection
  ☆21Updated 3 years ago
• iqiukp / SVDD-Python
  Python code for abnormal detection using Support Vector Data Description (SVDD)
  ☆204Updated last year
• GuansongPang / deep-outlier-detection
  Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…
  ☆48Updated 4 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆101Updated 5 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆69Updated 4 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆65Updated 3 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆150Updated 6 years ago
• jeanjerome / semisupervised_timeseries_infogan
  A tensorflow implementation of informative generative adversarial network (InfoGAN ) to one dimensional ( 1D ) time series data with a su…
  ☆29Updated 6 years ago
• seungjunlee96 / AnoGAN-pytorch
  Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
  ☆66Updated 5 years ago