Alternatives and similar repositories for DeepInsight:

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

• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆163Updated 2 months ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆161Updated 8 months ago
• nicomignoni / tab2img
  A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.
  ☆26Updated last month
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆31Updated 7 years ago
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆24Updated 4 years ago
• johaupt / GANbalanced
  ☆18Updated 5 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆102Updated 2 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated last year
• justinengelmann / GANbasedOversampling
  ☆63Updated 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
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆143Updated 2 years ago
• omidbazgirTTU / REFINED
  This repository is made to share the REFINED (Representation of Features as Images with NEighborhood Dependencies)
  ☆20Updated 4 years ago
• EmjayAhn / SuperTML-pytorch
  A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"
  ☆28Updated 5 years ago
• mlpapers / feature-selection
  Awesome papers on Feature Selection
  ☆35Updated last year
• ryancheunggit / tabular_dae
  ☆50Updated 2 years ago
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆175Updated last year
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆40Updated 3 years ago
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 2 years ago
• vd1371 / PyImbalReg
  Pre-processing technics for imbalanced datasets in regression modelling
  ☆11Updated 2 years ago
• MI2DataLab / survshap
  SurvSHAP(t): Time-dependent explanations of machine learning survival models
  ☆83Updated last year
• 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
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆167Updated 4 years ago
• imics-lab / recurrence-with-self-attention
  The repository contains source code and data from the paper titled "Recurrence and Self-Attention vs the Transformer for Time-Series Clas…
  ☆17Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆181Updated this week
• Atik-Ahamed / MambaTab
  MambaTab: A Plug-and-Play Model for Learning Tabular Data
  ☆19Updated 7 months ago
• chl8856 / Dynamic-DeepHit
  Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
  ☆67Updated 4 years ago
• suinleelab / DeepSHAP
  Experiments for DeepSHAP paper.
  ☆18Updated 2 years ago
• johanndejong / VaDER
  Deep learning for clustering of multivariate short time series with potentially many missing values
  ☆43Updated 11 months ago
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆62Updated last month
• a-agmon / anomaly_det
  ☆15Updated 3 years ago