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
  ☆69Updated 2 years ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 3 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆147Updated 3 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆101Updated 2 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago
• ryancheunggit / tabular_dae
  ☆53Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 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 4 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆36Updated last year
• david-rundel / tabpfn_iml
  Interpretable ML for TabPFN
  ☆40Updated 3 months ago
• YousefGh / kmeans-feature-importance
  Adding feature_importances_ property to sklearn.cluster.KMeans class
  ☆65Updated 2 years ago
• CoteDave / blog
  ☆63Updated 2 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆84Updated last year
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆34Updated 3 years ago
• yandex-research / GBDT-uncertainty
  ☆58Updated last year
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 5 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆199Updated 8 months ago
• callmeBalloch / google-brain-ventilator-pressure-prediction
  ☆27Updated 3 years ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆70Updated this week
• lucazav / binclass-tools
  The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification …
  ☆74Updated 2 years ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆189Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated 7 months ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆83Updated 4 months ago
• RektPunk / MQBoost
  Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …
  ☆36Updated 11 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆68Updated last year