Alternatives and similar repositories for SAFE

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

• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆149Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 3 years ago
• pyartemis / artemis
  A Python package with explanation methods for extraction of feature interactions from predictive models
  ☆33Updated 2 years ago
• SelfExplainML / GamiNet
  GAMI-Net: Generalized Additive Models with Structured Interactions
  ☆31Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years 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
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆29Updated 11 months ago
• parrt / stratx
  stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables
  ☆66Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• petersontylerd / mlmachine
  mlmachine accelerates machine learning experimentation
  ☆29Updated 4 years ago
• gdmarmerola / random-stuff
  Random stuff I've been working on
  ☆31Updated 2 years ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆55Updated last year
• alexhallam / tablespoon
  🥄✨Time-series Benchmark methods that are Simple and Probabilistic
  ☆41Updated 2 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 5 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• manuel-calzolari / shapicant
  Feature selection package based on SHAP and target permutation, for pandas and Spark
  ☆31Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 3 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆63Updated last year
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 3 months ago
• ModelOriented / pyCeterisParibus
  Python library for Ceteris Paribus Plots (What-if plots)
  ☆28Updated 4 years ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated 2 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 4 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆120Updated last year
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆102Updated last year
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆39Updated 9 months ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆80Updated last week