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
• ayaanzhaque / EC-GAN
  EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)
  ☆39Updated 3 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
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆29Updated 3 years ago
• yoonsanghyu / AAE-PyTorch
  Adversarial autoencoder (basic/semi-supervised/supervised)
  ☆29Updated 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
• waylongo / Gans-for-anomaly-detection
  Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data
  ☆13Updated 6 years ago
• fabiocarrara / cbigan-ad
  Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
  ☆40Updated 3 years ago
• munhouiani / GEE
  Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
  ☆28Updated 3 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆70Updated 4 years ago
• tbw162 / AA-BiGAN
  Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs
  ☆22Updated 2 years ago
• agrija9 / Deep-Unsupervised-Domain-Adaptation
  Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark…
  ☆92Updated 3 years ago
• iqiukp / SVDD-Python
  Python code for abnormal detection using Support Vector Data Description (SVDD)
  ☆206Updated last year
• 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
• zzw-zwzhang / 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
• zangzelin / Auto-encoder-AE-SAE-DAE-CAE-DAE-with-keras-in-Mnist-and-report
  ☆54Updated 6 years ago
• abhisheksambyal / Autoencoders-using-Pytorch-Medical-Imaging
  Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining
  ☆47Updated 6 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
• 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
• Ralmohsen / OSRAAE
  Open-set Recognition with Adversarial Autoencoders
  ☆39Updated 6 years ago
• mperezcarrasco / PyTorch-BiGAN
  This is my PyTorch implementation of BiGAN
  ☆15Updated 5 years ago
• yj-zhou / Feature_Encoding_with_AutoEncoders_for_Weakly-supervised_Anomaly_Detection
  ☆46Updated 4 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
• cyustcer / Deep-Feature-Selection
  Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)
  ☆17Updated 5 years ago
• Michedev / VAE_anomaly_detection
  ☆209Updated 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…
  ☆73Updated 5 years ago
• foamliu / Autoencoder
  Convolutional Autoencoder with SetNet in PyTorch
  ☆88Updated 2 years ago