WhatAShot / DANet

Related projects ⓘ

Alternatives and complementary repositories for DANet

• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆213Updated 5 months ago
• clabrugere / pytorch-scarf
  Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…
  ☆73Updated 7 months ago
• WhatAShot / ExcelFormer
  The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.
  ☆45Updated 4 months ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆147Updated 4 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆142Updated 2 years ago
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆180Updated 4 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆62Updated 2 years ago
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆158Updated last month
• jyansir / t2g-former
  (AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER
  ☆32Updated 8 months ago
• vcherepanova / tabular-feature-selection
  Repository for the feature selection with tabular models
  ☆59Updated 11 months ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆167Updated 3 years ago
• LevinRoman / tabular-transfer-learning
  A repo for transfer learning with deep tabular models
  ☆101Updated last year
• runopti / stg
  Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
  ☆99Updated 2 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆312Updated 2 months ago
• LARS-research / TabGNN
  ☆47Updated 3 years ago
• sbadirli / GrowNet
  ☆191Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆268Updated last year
• CVxTz / DeepTabular
  ☆37Updated 4 years ago
• maksym33 / FeatureImportanceDL
  ☆40Updated last year
• jrzaurin / tabulardl-benchmark
  Benchmark tabular Deep Learning models against each other and other non-DL techniques
  ☆53Updated 3 years ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆401Updated 2 years ago
• daochenzha / SimTSC
  [SDM 2022] Towards Similarity-Aware Time-Series Classification
  ☆71Updated last year
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆95Updated last year
• ZhiningLiu1998 / self-paced-ensemble
  [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架
  ☆252Updated 9 months ago
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆241Updated last year
• JonathanCrabbe / Dynamask
  This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its pred…
  ☆75Updated 2 years ago
• naszilla / tabzilla
  ☆115Updated 7 months ago
• machinelearningnuremberg / WellTunedSimpleNets
  [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
  ☆77Updated last year
• vanderschaarlab / hyperimpute
  A framework for prototyping and benchmarking imputation methods
  ☆164Updated last year
• ZhiningLiu1998 / imbalanced-ensemble
  🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
  ☆332Updated 4 months ago