Alternatives and similar repositories for Denoise-Transformer-AutoEncoder

Users that are interested in Denoise-Transformer-AutoEncoder are comparing it to the libraries listed below

• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆170Updated 4 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆121Updated 3 years ago
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• ryancheunggit / tabular_dae
  ☆53Updated 2 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆74Updated 2 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆507Updated 4 years ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆452Updated 3 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated last month
• ChristofHenkel / kaggle-birdclef2021-2nd-place
  ☆89Updated 4 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• ptuls / tabnet-modified
  Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
  ☆62Updated 2 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago
• AlliedToasters / dfencoder
  ☆131Updated 3 years ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆351Updated last month
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆323Updated 3 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆382Updated 6 months ago
• callmeBalloch / google-brain-ventilator-pressure-prediction
  ☆27Updated 3 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆330Updated last year
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆250Updated 2 years ago
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆101Updated 2 years ago
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆718Updated last year
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 5 years ago
• hcarlens / pytorch-tabular
  Some examples of using PyTorch for tabular data
  ☆67Updated 5 years ago
• ai-fast-track / timeseries
  Time Series package for fastai v2
  ☆95Updated 2 years ago
• Raschka-research-group / coral-pytorch
  CORAL and CORN implementations for ordinal regression with deep neural networks.
  ☆249Updated last month
• lime-robot / dsb2019
  https://www.kaggle.com/c/data-science-bowl-2019
  ☆67Updated 2 years ago
• ck37 / coral-ordinal
  Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
  ☆81Updated last month
• jrfiedler / xynn
  ☆16Updated 3 years ago