Alternatives and similar repositories for DATGAN

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

• amirarsalan90 / TabFairGAN
  ☆22Updated last year
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆120Updated 4 years ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆80Updated last year
• liuyilin950623 / SHAP_on_Autoencoder
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆33Updated 5 years ago
• xuhongzuo / deep-iforest
  offical implementation of TKDE paper "Deep isolation forest for anomaly detection"
  ☆107Updated last year
• GH920 / improved-bagan-gp
  Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.
  ☆40Updated 3 years ago
• Team-TUD / CTAB-GAN
  Official git for "CTAB-GAN: Effective Table Data Synthesizing"
  ☆91Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆147Updated 3 years ago
• ronniemi / explainAnomaliesUsingSHAP
  Explaining Anomalies Detected by Autoencoders Using SHAP
  ☆43Updated 4 years ago
• Team-TUD / CTAB-GAN-Plus-DP
  ☆22Updated 3 years ago
• sattarov / FinDiff
  Implementation of the paper: "FinDiff: Diffusion Models for Financial Tabular Data Generation"
  ☆32Updated last year
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆83Updated 2 years ago
• zwzhang123 / Awesome-of-Time-Series-Augmentation
  A curated list of time series augmentation resources.
  ☆64Updated 3 years ago
• sydney-machine-learning / GANclassimbalanced
  GANs for class imbalanced problems
  ☆29Updated 3 years ago
• fschur / Missing-Data-Imputation-Methods-Performance-Comparison
  Comparison of various data imputation methods
  ☆16Updated 5 years ago
• Thartvigsen / StopAndHop
  Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early
  ☆19Updated last year
• dominikalfke / TimeSeriesSSL
  A study of distance measures and learning methods for semi-supervised learning on time series data
  ☆17Updated 4 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…
  ☆53Updated 2 weeks ago
• MatteoSalvatori / INCE
  Interaction Network Contextual Embedding
  ☆19Updated last year
• acphile / RTSGAN
  ☆41Updated 3 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• vanderschaarlab / MIRACLE
  ☆29Updated last year
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• frankl1 / ustc
  Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
  ☆21Updated 3 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• yzhao062 / UOMS
  Resources and environment for unsupervised outlier model selection (UOMS)
  ☆24Updated 3 years ago
• qingsongedu / timeseries-tutorial-kdd-2022
  KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
  ☆104Updated last year
• 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 3 years ago