Alternatives and similar repositories for DANet

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

• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆145Updated 3 years ago
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆272Updated 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
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆62Updated last year
• amramabutbul / DisjunctiveNormalFormNet
  ☆10Updated 4 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆148Updated 4 years ago
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆108Updated 3 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆194Updated 4 months ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆194Updated 4 months ago
• LARS-research / TabGNN
  ☆51Updated 3 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆278Updated 2 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆104Updated 2 years ago
• ZhiningLiu1998 / mesa
  [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
  ☆108Updated last year
• sbadirli / GrowNet
  ☆203Updated 3 years ago
• maksym33 / FeatureImportanceDL
  ☆42Updated 2 years ago
• BingzhaoZhu / XTab
  ☆38Updated 2 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆168Updated 4 years ago
• dd1github / DeepSMOTE
  Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".
  ☆119Updated 3 years ago
• zhuyitan / IGTD
  Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
  ☆165Updated last year
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆99Updated 2 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated last month
• Optimization-AI / LibAUC
  LibAUC: A Deep Learning Library for X-Risk Optimization
  ☆305Updated 10 months ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆371Updated 2 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆86Updated 2 years ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆80Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆438Updated 3 years ago
• BorgwardtLab / Set_Functions_for_Time_Series
  Repository of the ICML 2020 paper "Set Functions for Time Series"
  ☆126Updated 4 years ago
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆162Updated last year
• vcherepanova / tabular-feature-selection
  Repository for the feature selection with tabular models
  ☆63Updated last year