Alternatives and similar repositories for IGTD:

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

• alok-ai-lab / DeepInsight
  A methodology to transform a non-image data to an image for convolution neural network architecture
  ☆29Updated 2 years ago
• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆163Updated 2 months ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆177Updated last year
• nicomignoni / tab2img
  A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.
  ☆25Updated 2 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆242Updated 3 months ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆143Updated 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
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆184Updated 2 weeks ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆273Updated last year
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆84Updated last year
• omidbazgirTTU / REFINED
  This repository is made to share the REFINED (Representation of Features as Images with NEighborhood Dependencies)
  ☆20Updated 4 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆75Updated 11 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆80Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆264Updated last week
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 10 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆374Updated 7 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆129Updated 3 weeks ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆76Updated 3 weeks ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆166Updated last year
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆213Updated 7 months ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆81Updated 2 years ago
• basf / mamba-tabular
  Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…
  ☆197Updated this week
• ChangWeiTan / TS-Extrinsic-Regression
  This repository contains the source code for time series regression.
  ☆99Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• justinengelmann / GANbasedOversampling
  ☆64Updated 2 years ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆332Updated 10 months ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆144Updated 5 months ago
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆97Updated 2 years ago