Alternatives and similar repositories for deep_tabular_augmentation

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

• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆68Updated 2 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated 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
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆101Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago
• CoteDave / blog
  ☆63Updated 2 years ago
• Baukebrenninkmeijer / On-the-Generation-and-Evaluation-of-Synthetic-Tabular-Data-using-GANs
  Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs
  ☆45Updated 2 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆65Updated 3 years ago
• bits-bytes-nn / mofc-demand-forecast
  Time Series Forecasting for the M5 Competition
  ☆41Updated 3 years ago
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆40Updated 2 months ago
• Team-TUD / CTAB-GAN-Plus
  Official GitHub for CTAB-GAN+
  ☆80Updated last year
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆169Updated last year
• Baukebrenninkmeijer / table-evaluator
  Evaluate real and synthetic datasets against each other
  ☆92Updated 2 months ago
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 4 years ago
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• tomer1812 / pydts
  ☆23Updated 2 weeks ago
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆187Updated last year
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆68Updated last year
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆136Updated 7 months ago
• nhsx / SynthVAE
  Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics
  ☆46Updated 2 years ago
• wywongbd / autocluster
  AutoML for clustering models in sklearn.
  ☆61Updated 2 years ago