Alternatives and similar repositories for tab2img

Users that are interested in tab2img are comparing it to the libraries listed below

• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆170Updated last year
• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆171Updated last month
• alok-ai-lab / DeepInsight
  A methodology to transform a non-image data to an image for convolution neural network architecture
  ☆33Updated 3 weeks ago
• lschmiddey / Autoencoder
  Autoencoder on tabular data
  ☆15Updated 4 years ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆614Updated 11 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆391Updated last week
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆148Updated 3 years ago
• nickkunz / smogn
  Synthetic Minority Over-Sampling Technique for Regression
  ☆346Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 3 weeks ago
• christopherjenness / DBCV
  Python implementation of Density-Based Clustering Validation
  ☆176Updated 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
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 7 months ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆347Updated last year
• navefr / ExKMC
  Expanding Explainable K-Means Clustering
  ☆96Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆278Updated this week
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆636Updated last year
• OpenTabular / DeepTabular
  Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…
  ☆269Updated 2 months ago
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆579Updated last year
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• flemmerich / pysubgroup
  ☆69Updated last week
• omidbazgirTTU / REFINED
  This repository is made to share the REFINED (Representation of Features as Images with NEighborhood Dependencies)
  ☆22Updated 5 years ago
• wwydmanski / hypertab
  Code for "HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets"
  ☆13Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆545Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• manuel-calzolari / sklearn-genetic
  Genetic feature selection module for scikit-learn
  ☆323Updated last year
• maxfrenzel / CompressionVAE
  General-purpose dimensionality reduction and manifold learning tool based on Variational Autoencoder, implemented in TensorFlow.
  ☆159Updated 9 months ago