Alternatives and similar repositories for LCE

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

• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆213Updated 3 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆142Updated 10 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆65Updated 2 weeks ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated 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
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 10 months ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆153Updated 9 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…
  ☆251Updated 3 weeks ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆198Updated 3 weeks ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆253Updated 2 weeks ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆358Updated last month
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆62Updated last year
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆217Updated last year
• blent-ai / ALEPython
  Python Accumulated Local Effects package
  ☆170Updated 2 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• orchardbirds / bokbokbok
  Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM
  ☆39Updated 6 months ago
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated last week
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆86Updated 3 years ago
• epsilon-machine / missingpy
  Missing Data Imputation for Python
  ☆247Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆436Updated last year
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• aruberts / TabTransformerTF
  TensorFlow implementation of TabTransformer
  ☆84Updated 2 years ago