Alternatives and similar repositories for TapTap

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

• BingzhaoZhu / XTab
  ☆38Updated 2 years ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆202Updated 8 months ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆62Updated last year
• LAMDA-Tabular / Tabular-Survey
  Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey"
  ☆76Updated 2 weeks ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆172Updated last year
• amazon-science / tabsyn
  Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
  ☆173Updated last year
• clinicalml / TabLLM
  ☆324Updated 2 years ago
• Sungwon-Han / FeatLLM
  ☆41Updated last year
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆201Updated 3 weeks ago
• dylan-slack / Tablet
  The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
  ☆22Updated 2 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆83Updated 5 months ago
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆60Updated 11 months ago
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆60Updated 2 years ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆65Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• noahho / CAAFE
  Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automat…
  ☆177Updated 10 months ago
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆132Updated last year
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆58Updated last year
• MinkaiXu / TabDiff
  [ICLR 2025] TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation
  ☆115Updated 5 months ago
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆111Updated last year
• SuDIS-ZJU / awesome-tabular-data-augmentation
  ☆64Updated 6 months ago
• tabularis-ai / be_great
  A novel approach for synthesizing tabular data using pretrained large language models
  ☆328Updated 2 weeks ago
• 12wang3 / rrl
  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…
  ☆114Updated last year
• pfnet-research / TabCSDI
  A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"
  ☆56Updated last year
• zhao-zilong / Tabula
  Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"
  ☆44Updated 3 months ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆68Updated 2 years ago
• Daftstone / CIMI
  ☆28Updated 2 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆30Updated 5 months ago
• opendataval / opendataval
  OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)
  ☆99Updated 9 months ago
• microsoft / robustlearn
  Robust machine learning for responsible AI
  ☆504Updated last year