Alternatives and similar repositories for GANbalanced

Users that are interested in GANbalanced are comparing it to the libraries listed below

• justinengelmann / GANbasedOversampling
  ☆68Updated 3 years ago
• jsyoon0823 / GAIN
  Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
  ☆406Updated 3 years ago
• lethaiq / GAIN
  Generative Adversarial Imputation Networks (GAIN) Pytorch version
  ☆29Updated 7 years ago
• mahmoodm2 / tableGAN
  tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Ad…
  ☆153Updated 6 years ago
• tommyngx / Multi_TimeGAN
  Multivariate Time Series Imputation with Generative Adversarial Networks
  ☆11Updated 5 years ago
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆143Updated 2 years ago
• nnormandin / Conditional_VAE
  conditional variational autoencoder written in Keras [not actively maintained]
  ☆97Updated 8 years ago
• lstruski / Processing-of-missing-data-by-neural-networks
  ☆43Updated 6 years ago
• mkirchmeyer / ganRegression
  ☆35Updated 6 years ago
• LiDan456 / GAN-AD
  We used generative adversarial networks (GANs) to do anomaly detection for time series data.
  ☆149Updated 7 years ago
• unnir / CancelOut
  CancelOut is a special layer for deep neural networks that can help identify a subset of relevant input features for streaming or static …
  ☆26Updated 5 years ago
• Michedev / VAE_anomaly_detection
  ☆214Updated 2 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
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆82Updated 5 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆47Updated 6 years ago
• rcamino / imputation-dgm
  Code for the paper "Improving Missing Data Imputation with Deep Generative Models"
  ☆32Updated 6 years ago
• ProcessMonitoringStellenboschUniversity / IFAC-VAE-Imputation
  Demonstration code for missing data imputation using Variational Autoencoders (VAE)
  ☆23Updated 6 years ago
• steveli / misgan
  MisGAN: Learning from Incomplete Data with GANs
  ☆80Updated 2 years ago
• ivivan / SSIM_Seq2Seq
  SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data
  ☆40Updated 4 years ago
• dhanajitb / GAIN-Pytorch
  Pytorch implementation of GAIN for missing data imputation
  ☆77Updated last year
• Harry24k / MIDA-pytorch
  PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"
  ☆28Updated 6 years ago
• Luoyonghong / Multivariate-Time-Series-Imputation-with-Generative-Adversarial-Networks
  NIPS2018 paper
  ☆192Updated 7 years ago
• ratschlab / dpsom
  Code associated with ACM-CHIL 21 paper 'T-DPSOM - An Interpretable Clustering Method for Unsupervised Learning of Patient Health States'
  ☆72Updated 4 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆154Updated 5 years ago
• EagerSun / DL-vs-Stat_Impute
  This is a thesis project about comparing imputation performances between deep learning methods and conventional statistical methods. In t…
  ☆19Updated last year
• probabilistic-learning / HI-VAE
  ☆93Updated 2 years ago
• Nidhi08 / GANs-for-imbalanced-data-generation
  ☆17Updated 7 years ago
• TeaPearce / Deep_Learning_Prediction_Intervals
  ICML paper 'High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach'
  ☆94Updated 5 years ago
• 3778 / Ward2ICU
  Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward
  ☆32Updated 6 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆108Updated last year