Alternatives and similar repositories for node

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

• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆244Updated 2 years ago
• sbadirli / GrowNet
  ☆205Updated 3 years ago
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆451Updated 3 years ago
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆349Updated 4 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 2 weeks ago
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆553Updated 2 years ago
• AlliedToasters / dfencoder
  ☆131Updated 3 years ago
• h2oai / pystacknet
  ☆294Updated 3 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
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆425Updated last year
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆379Updated 5 months ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆1,052Updated 10 months ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆469Updated last year
• srome / pykliep
  A density ratio estimator package for python using the KLIEP algorithm.
  ☆109Updated 5 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 5 years ago
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,569Updated last week
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆525Updated 6 months ago
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆986Updated 7 months ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆318Updated 6 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• openml / automlbenchmark
  OpenML AutoML Benchmarking Framework
  ☆432Updated this week
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆696Updated last week
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆635Updated last year
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆249Updated 2 years ago
• LeoGrin / tabular-benchmark
  ☆488Updated last year
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,782Updated 3 weeks ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆329Updated last year
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year