Alternatives and similar repositories for scikit-fda

Users that are interested in scikit-fda are comparing it to the libraries listed below

• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆155Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆279Updated last week
• StevenGolovkine / FDApy
  Python Package for Functional Data Analysis
  ☆54Updated 6 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆383Updated last year
• DynamicsAndNeuralSystems / catch22
  catch22: CAnonical Time-series CHaracteristics
  ☆436Updated this week
• stan-dev / pystan
  PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
  ☆356Updated last year
• pymc-devs / pymc-bart
  ☆122Updated this week
• madrury / basis-expansions
  Basis expansion transformers in sklearn style.
  ☆97Updated 5 years ago
• pymc-devs / pymc-examples
  Examples of PyMC models, including a library of Jupyter notebooks.
  ☆347Updated last month
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆117Updated 2 years ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆333Updated last month
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆232Updated 3 months ago
• AnotherSamWilson / miceforest
  Multiple Imputation with LightGBM in Python
  ☆390Updated last year
• sdv-dev / Copulas
  A library to model multivariate data using copulas.
  ☆612Updated 2 weeks ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆86Updated 2 months ago
• StatMixedML / XGBoostLSS
  An extension of XGBoost to probabilistic modelling
  ☆647Updated last month
• MaxHalford / sorobn
  🧮 Bayesian networks in Python
  ☆258Updated 4 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆117Updated 6 months ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆141Updated 7 months ago
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆155Updated last year
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆197Updated last week
• fabsig / GPBoost
  Combining tree-boosting with Gaussian process and mixed effects models
  ☆637Updated this week
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆89Updated 3 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆116Updated last week
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆85Updated last week
• erdogant / bnlearn
  Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inf…
  ☆542Updated 2 weeks ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆111Updated this week
• scikit-learn-contrib / project-template
  A template for scikit-learn extensions
  ☆337Updated 8 months ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆107Updated last year