Alternatives and similar repositories for selective

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

• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆65Updated 3 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆62Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆110Updated last month
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆108Updated 3 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆66Updated 3 months ago
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆118Updated 2 weeks ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆95Updated 5 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 7 months ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆140Updated 9 months ago
• UdayLab / PAMI
  PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms.…
  ☆281Updated this week
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆53Updated 3 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆44Updated 5 years ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆197Updated 2 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆86Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 9 months ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 3 years ago
• nla-group / fABBA
  A Python library for the fast symbolic approximation of time series
  ☆49Updated last week
• manujosephv / GATE
  ☆18Updated 2 years ago
• AdityaLab / PROFHiT
  ☆31Updated 3 years ago
• feedzai / fairgbm
  Train Gradient Boosting models that are both high-performance *and* Fair!
  ☆106Updated last week
• 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
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated 2 years ago
• francois-meyer / time2vec
  This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)
  ☆59Updated 7 years ago
• fidelity / textwiser
  [AAAI 2021] TextWiser: Text Featurization Library
  ☆58Updated 8 months ago
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆154Updated last year