Alternatives and similar repositories for Denoise-Transformer-AutoEncoder

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

• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• sbadirli / GrowNet
  ☆203Updated 3 years ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆120Updated 3 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆168Updated 4 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆216Updated last year
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆492Updated 4 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆441Updated 3 years ago
• ryancheunggit / tabular_dae
  ☆52Updated 2 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 3 months ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆278Updated 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
• ChristofHenkel / kaggle-birdclef2021-2nd-place
  ☆89Updated 4 years ago
• AlliedToasters / dfencoder
  ☆131Updated 2 years ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆317Updated 2 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆374Updated 3 months 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.
  ☆238Updated last year
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆247Updated 2 years ago
• IBM / TabFormer
  Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
  ☆344Updated last year
• radi-cho / GatedTabTransformer
  A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
  ☆100Updated 2 years ago
• lime-robot / dsb2019
  https://www.kaggle.com/c/data-science-bowl-2019
  ☆67Updated 2 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆83Updated 2 years ago
• callmeBalloch / google-brain-ventilator-pressure-prediction
  ☆28Updated 3 years ago
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆234Updated last year
• jfpuget / STFT_Transformer
  Code for STFT Transformer used in BirdCLEF 2021 competition.
  ☆80Updated 4 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆327Updated last year
• abhishekkrthakur / autoxgb
  XGBoost + Optuna
  ☆715Updated 10 months ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆148Updated 4 years ago
• lmassaron / deep_learning_for_tabular_data
  A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
  ☆46Updated last month