Alternatives and similar repositories for hypertab

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

• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆207Updated 2 months ago
• AI-sandbox / HyperFast
  HyperFast : Instant Classification for Tabular Data
  ☆76Updated last month
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆172Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• ersilia-os / chempfn
  Ensemble-based, size-agnostic wrapper for the TabPFN classifier
  ☆33Updated last year
• LeoGrin / tabular-benchmark
  ☆502Updated last year
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆154Updated 5 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆283Updated last week
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆290Updated last month
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆281Updated 2 years ago
• autonlab / auton-survival
  Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Even…
  ☆358Updated last year
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆68Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆459Updated 4 years ago
• snap-stanford / plato
  ☆70Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆103Updated 10 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆313Updated last year
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆314Updated 2 months ago
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆171Updated last week
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆89Updated last year
• alok-ai-lab / pyDeepInsight
  A python implementation of the DeepInsight methodology.
  ☆172Updated 3 months ago
• dholzmueller / pytabkit
  ML models + benchmark for tabular data classification and regression
  ☆318Updated 2 weeks ago
• tabularis-ai / be_great
  A novel approach for synthesizing tabular data using pretrained large language models
  ☆340Updated last month
• PriorLabs / tabpfn-extensions
  Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗
  ☆239Updated last week
• yuenshingyan / MissForest
  Arguably the best missing values imputation method.
  ☆76Updated last year
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆83Updated 4 months ago
• OpenTabular / DeepTab
  DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…
  ☆285Updated last week
• sciai-lab / cl-tsne-umap
  ☆33Updated 8 months ago