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
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆110Updated last year
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆60Updated last year
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 3 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆115Updated 4 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆156Updated last year
• 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
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆115Updated this week
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆43Updated 5 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 6 months ago
• ykwon0407 / WeightedSHAP
  WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)
  ☆159Updated 2 years ago
• tvdboom / ATOM
  Automated Tool for Optimized Modelling
  ☆159Updated last year
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆196Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆71Updated last year
• 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
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 8 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• 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
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆64Updated 2 weeks ago
• ealcobaca / pymfe
  Python Meta-Feature Extractor package.
  ☆133Updated last month
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆140Updated 5 months ago
• jaswinder9051998 / zoofs
  zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…
  ☆249Updated 2 months ago
• fidelity / seq2pat
  [AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library
  ☆136Updated 9 months ago
• manujosephv / GATE
  ☆18Updated 2 years 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…
  ☆135Updated 6 months ago