Alternatives and similar repositories for TapTap:

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

• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆52Updated 6 months ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆184Updated 6 months ago
• Sungwon-Han / FeatLLM
  ☆23Updated 8 months ago
• BingzhaoZhu / XTab
  ☆33Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆171Updated last week
• naszilla / tabzilla
  ☆139Updated 10 months ago
• tennisonliu / GOGGLE
  ☆26Updated last year
• UW-Madison-Lee-Lab / LanguageInterfacedFineTuning
  Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.
  ☆121Updated 2 months ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆65Updated last year
• AI4LIFE-GROUP / LLM_Explainer
  Code for paper: Are Large Language Models Post Hoc Explainers?
  ☆29Updated 6 months ago
• dylan-slack / Tablet
  The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.
  ☆20Updated last year
• 12wang3 / rrl
  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…
  ☆114Updated 10 months ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆56Updated 7 months ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆53Updated last year
• behavioral-data / TSandLanguage
  ☆27Updated 6 months ago
• MinkaiXu / TabDiff
  ☆29Updated 3 months ago
• noahho / CAAFE
  Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automat…
  ☆143Updated last month
• BaiTheBest / DRAIN
  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"
  ☆56Updated last year
• KounianhuaDu / PET
  ☆22Updated last year
• causalNLP / corr2cause
  Data and code for the Corr2Cause paper (ICLR 2024)
  ☆92Updated 9 months ago
• 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
• SJTU-DMTai / awesome-ml-data-quality-papers
  Papers about training data quality management for ML models.
  ☆42Updated last month
• Chao-Ye / CM2
  ☆12Updated 7 months ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆32Updated last week
• amazon-science / tabsyn
  Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""
  ☆117Updated 6 months ago
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆62Updated 2 months ago
• tanfiona / LLM-on-Tabular-Data-Prediction-Table-Understanding-Data-Generation
  Repository for collecting and categorizing papers outlined in our survey paper: "Large Language Models on Tabular Data -- A Survey".
  ☆107Updated 3 months ago
• ritaranx / ClinGen
  [ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation wi…
  ☆37Updated 7 months ago
• imJiawen / Warpformer
  ☆27Updated 5 months ago
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆56Updated last year