Alternatives and similar repositories for auto-scikit-dl

Users that are interested in auto-scikit-dl are comparing it to the libraries listed below

• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆65Updated last year
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆305Updated last year
• naszilla / tabzilla
  Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"
  ☆172Updated 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
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆150Updated 3 years ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆457Updated 3 years ago
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆46Updated 3 years ago
• jyansir / t2g-former
  (AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
  ☆40Updated last year
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆85Updated last year
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆202Updated 8 months ago
• BingzhaoZhu / XTab
  ☆38Updated 2 years ago
• LeoGrin / tabular-benchmark
  ☆495Updated last year
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆1,071Updated last year
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆384Updated 7 months ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆151Updated 5 years ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆88Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆282Updated 2 years ago
• LennartPurucker / finetune_tabpfn_v2
  Code for finetuning TabPFN on one downstream tabular dataset.
  ☆78Updated 2 months ago
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆1,028Updated 8 months ago
• nd7141 / bgnn
  ☆173Updated last year
• amramabutbul / DisjunctiveNormalFormNet
  ☆10Updated 5 years ago
• Optimization-AI / LibAUC
  LibAUC: A Deep Learning Library for X-Risk Optimization
  ☆313Updated last month
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆195Updated 2 years ago
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• microsoft / ticl
  Tabular In-Context Learning
  ☆93Updated 8 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆65Updated 3 years ago
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆83Updated 5 months ago
• jyansir / tp-berta
  [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction
  ☆62Updated last year
• ZhangTP1996 / TapTap
  ☆67Updated 2 years ago