Alternatives and similar repositories for tabred

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

• microsoft / ticl
  Tabular In-Context Learning
  ☆101Updated 9 months ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆176Updated last year
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆389Updated 8 months ago
• yandex-research / tabular-dl-tabr
  The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
  ☆312Updated last month
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆98Updated this week
• layer6ai-labs / TabDPT-inference
  Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"
  ☆66Updated this week
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆254Updated 3 weeks ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆40Updated 9 months ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆206Updated last month
• autogluon / tabarena
  A Living Benchmark for Machine Learning on Tabular Data
  ☆165Updated this week
• automl / PFNs
  Our maintained PFN repository. Come here to train SOTA PFNs.
  ☆121Updated 2 months ago
• penfever / TuneTables
  TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
  ☆22Updated 8 months ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆105Updated 2 years ago
• SamsungSAILMontreal / ForestDiffusion
  Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models
  ☆173Updated last year
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆68Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆194Updated 2 years ago
• tennisonliu / GOGGLE
  ☆28Updated 2 years ago
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆67Updated last year
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆65Updated 3 years ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆88Updated last year
• LeoGrin / tabular-benchmark
  ☆500Updated last year
• atschalz / dc_tabeval
  A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
  ☆16Updated last year
• zzzace2000 / nodegam
  Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"
  ☆47Updated 3 years ago
• vcherepanova / tabular-feature-selection
  Repository for the feature selection with tabular models
  ☆67Updated 2 years ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆309Updated last year
• iancovert / shapley-regression
  For calculating Shapley values via linear regression.
  ☆71Updated 4 years ago
• ZhangTP1996 / TapTap
  ☆67Updated 2 years ago
• iancovert / sage
  For calculating global feature importance using Shapley values.
  ☆282Updated this week
• yromano / cqr
  Conformalized Quantile Regression
  ☆297Updated 3 years ago