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.
  ☆243Updated 2 years ago
• sbadirli / GrowNet
  ☆203Updated 3 years ago
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆547Updated last year
• somepago / saint
  The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …
  ☆432Updated 3 years ago
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆349Updated 4 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated last month
• h2oai / pystacknet
  ☆289Updated 3 years ago
• yandex-research / rtdl-num-embeddings
  (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
  ☆362Updated 2 months ago
• christophM / rulefit
  Python implementation of the rulefit algorithm
  ☆420Updated last year
• AlliedToasters / dfencoder
  ☆131Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆277Updated 2 years ago
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆993Updated 7 months 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
• iridiumblue / roc-star
  Loss function which directly targets ROC-AUC
  ☆246Updated 2 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆521Updated 2 months ago
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆467Updated last year
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆317Updated 2 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆323Updated last year
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆804Updated 2 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆241Updated 2 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆73Updated last year
• manujosephv / pytorch_tabular
  A standard framework for modelling Deep Learning Models for tabular data
  ☆1,533Updated last week
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆618Updated last year
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆539Updated last year
• SauceCat / PDPbox
  python partial dependence plot toolbox
  ☆856Updated 9 months ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆316Updated last year
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆153Updated last year
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆487Updated last year