Alternatives and similar repositories for transtab

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

• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆196Updated 6 months ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆274Updated 9 months ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆81Updated last year
• BingzhaoZhu / XTab
  ☆37Updated 2 years ago
• ZhangTP1996 / TapTap
  ☆67Updated 2 years ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆57Updated last year
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆145Updated 3 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 4 years ago
• jyansir / t2g-former
  (AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
  ☆39Updated last year
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆45Updated 3 years ago
• 12wang3 / rrl
  The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…
  ☆112Updated last year
• YGZWQZD / LAMDA-SSL
  30 Semi-Supervised Learning Algorithms
  ☆209Updated 11 months ago
• clinicalml / TabLLM
  ☆319Updated last year
• JointEntropy / awesome-ml-pu-learning
  A curated list of resources dedicated to Positive Unlabeled(PU) learning ML methods.
  ☆37Updated 2 years ago
• Chao-Ye / CM2
  ☆18Updated 5 months ago
• Optimization-AI / LibAUC
  LibAUC: A Deep Learning Library for X-Risk Optimization
  ☆307Updated 11 months ago
• jaehyun513 / STUNT
  Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…
  ☆58Updated 2 years ago
• Alcoholrithm / TabularS3L
  A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
  ☆40Updated 5 months ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆65Updated last year
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• Daftstone / CIMI
  ☆28Updated last year
• maksym33 / FeatureImportanceDL
  ☆42Updated 2 years ago
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆388Updated 3 months ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆278Updated 2 years ago
• acmi-lab / PU_learning
  Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…
  ☆44Updated last year
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆163Updated last year
• mlfoundations / tableshift
  A benchmark for distribution shift in tabular data
  ☆55Updated last year
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆90Updated last year
• rushrukh / awesome-explainable-ai
  A repository for summaries of recent explainable AI/Interpretable ML approaches
  ☆81Updated 10 months ago