Alternatives and similar repositories for t2g-former

Users that are interested in t2g-former are comparing it to the libraries listed below

• jyansir / tmlp
  [KDD 2024] Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
  ☆10Updated 2 months ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆54Updated 10 months ago
• jyansir / Text2Tree
  (EMNLP 2023 Findings) Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.
  ☆14Updated last year
• pytabular-ai / auto-scikit-dl
  An automatic deep tabular learning package
  ☆13Updated last year
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆62Updated 11 months ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆189Updated 2 months ago
• yhzhu99 / pyehr
  COVID-19 EHR data analysis pipeline
  ☆20Updated 4 months ago
• Roytsai27 / awesome-GNN4TDL
  Graph Neural Networks for Tabular Data Learning (GNN4TDL)
  ☆95Updated last year
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆259Updated 6 months ago
• XZhang97666 / MultimodalMIMIC
  ☆33Updated last year
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆44Updated 3 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆189Updated 3 months ago
• The-Real-JerryChen / TRANS
  Official implementation for paper "Predictive Modeling with Temporal Graphical Representation on Electronic Health Records"
  ☆21Updated 11 months ago
• imJiawen / Warpformer
  ☆32Updated 8 months ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆77Updated last year
• HiTANet2020 / HiTANet
  ☆38Updated 5 years ago
• Chao-Ye / CM2
  ☆14Updated 2 months ago
• LARS-research / TabGNN
  ☆50Updated 3 years ago
• BingzhaoZhu / XTab
  ☆39Updated 2 years ago
• JAEarly / MILTimeSeriesClassification
  Inherently Interpretable Time Series Classification via Multiple Instance Learning (MILLET)
  ☆43Updated last year
• LAMDA-Tabular / Tabular-Survey
  Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey"
  ☆22Updated last week
• paulhager / MMCL-Tabular-Imaging
  ☆113Updated 5 months ago
• mahsa91 / RA-GCN-MedIA2022
  Implementation code of RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data accepted by Medical Image…
  ☆24Updated 2 years ago
• flixpar / med-ts-llm
  MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis
  ☆38Updated 8 months ago
• kingrc15 / multimodal-clinical-pretraining
  This is the official code for "Multimodal Pretraining of Medical Time Series and Notes" at Machine Learning for Health 2023
  ☆17Updated 4 months ago
• machinelearning4health / MedPath
  ☆15Updated 3 years ago
• ycq091044 / ManyDG
  ICLR 2023 paper - ManyDG - Dataset processing and mode codes
  ☆23Updated last year
• Wang-Yuanlong / MultimodalPred
  ☆15Updated last year
• mims-harvard / TimeX
  Time series explainability via self-supervised model behavior consistency
  ☆48Updated last year
• aigc-apps / AMFormer
  The AMFormer algorithm, accepted at AAAI-2024, for deep tabular learning
  ☆37Updated 10 months ago