Alternatives and similar repositories for DATGAN

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

• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• amirarsalan90 / TabFairGAN
  ☆22Updated last year
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆120Updated 4 years ago
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆77Updated last year
• bvshyam / ctgan_tabular_data
  Creating tabular GAN on credit card dataset
  ☆20Updated 5 years ago
• Team-TUD / CTAB-GAN-Plus-DP
  ☆22Updated 2 years ago
• sattarov / FinDiff
  Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
  ☆31Updated last year
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆89Updated last year
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆43Updated 4 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆29Updated 3 years ago
• zzw-zwzhang / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• acphile / RTSGAN
  ☆39Updated 3 years ago
• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆18Updated 10 months ago
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• JinJunRen / GB-SMOTE
  This method is a new oversampling algorithm and can circumvent the deficiency of WK-SMOTE (and SMOTE as well as its variants) caused by r…
  ☆16Updated 2 years ago
• Diffusion-Model-Leiden / awesome-diffusion-models-for-tabular-data
  This is a curated list of research on diffusion models for tabular data, and serves as the official repository for the survey paper "Diff…
  ☆36Updated 4 months ago
• peaclab / CoMTE
  Counterfactual Explanations for Multivariate Time Series Data
  ☆33Updated last year
• sanatonek / time_series_explainability
  ☆61Updated 4 years ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆82Updated 2 years ago
• ranakroychowdhury / TARNet
  Task-Aware Reconstruction for Time-Series Transformer
  ☆62Updated 2 years ago
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 3 years ago
• qingsongedu / timeseries-tutorial-kdd-2022
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆104Updated last year
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 4 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 2 months ago
• vanderschaarlab / MIRACLE
  ☆28Updated last year
• LuChang-CS / MTGAN
  Code for the paper: Multi-Label Clinical Time-Series Generation via Conditional GAN (IEEE TKDE)
  ☆38Updated 3 years ago
• cchallu / dghl
  ☆28Updated 3 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆82Updated last year
• GH920 / improved-bagan-gp
  Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
  ☆38Updated 3 years ago