Alternatives and similar repositories for pyDeepInsight

Users that are interested in pyDeepInsight 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
  ☆33Updated 2 months ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆170Updated last year
• naity / image_tabular
  Integrate image and tabular data for deep learning
  ☆90Updated 2 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• lschmiddey / Autoencoder
  Autoencoder on tabular data
  ☆15Updated 4 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆154Updated 5 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆281Updated 2 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆89Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• kalelpark / FT_TransFormer
  DeepLearning for Tabular Data with FT_Transformer & ResNet
  ☆23Updated 3 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆354Updated last year
• i6092467 / vadesc
  A probabilistic model to cluster survival data in a variational deep clustering setting
  ☆30Updated 3 years ago
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆48Updated 3 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆109Updated 3 years ago
• rezacsedu / Deep-Learning-for-Clustering-in-Bioinformatics
  Deep Learning-based Clustering Approaches for Bioinformatics
  ☆141Updated 4 years ago
• TannerGilbert / Model-Interpretation
  Overview of different model interpretability libraries.
  ☆51Updated 3 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago
• rosasalberto / mil
  Multiple instance learning library for Python
  ☆64Updated 4 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆122Updated 3 years ago
• MatteoSalvatori / INCE
  Interaction Network Contextual Embedding
  ☆20Updated last year
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆206Updated 2 months ago
• ryancheunggit / tabular_dae
  ☆53Updated 2 years ago
• nicomignoni / tab2img
  A tool to convert tabular data into images, in order to be used by CNNs Inspired by the "DeepInsight" paper.
  ☆26Updated 11 months ago
• alimirzaei / TSFS
  Deep Feature Selection using Teacher Student Network
  ☆44Updated 6 years ago
• yohann84L / plot_metric
  Python package to simplify plotting of metric like ROC curve, confusion matrix etc..
  ☆70Updated last year
• havakv / torchtuples
  Training neural networks in PyTorch
  ☆27Updated last year
• sebp / survival-cnn-estimator
  Tutorial on survival analysis using TensorFlow.
  ☆47Updated 5 years ago
• EmjayAhn / SuperTML-pytorch
  A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"
  ☆29Updated 6 years ago
• smazzanti / mrmr
  mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.
  ☆618Updated last year