Alternatives and similar repositories for sklearn-quantile

Users that are interested in sklearn-quantile are comparing it to the libraries listed below

• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆52Updated last week
• nci / scores
  scores: Metrics for the verification, evaluation and optimisation of forecasts, predictions or models.
  ☆191Updated 2 weeks ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆66Updated this week
• kikocorreoso / scikit-extremes
  scikit-extremes is a basic statistical package to perform univariate extreme value calculations using Python
  ☆42Updated 3 years ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆159Updated 8 months ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆112Updated 3 weeks ago
• properscoring / properscoring
  Proper scoring rules in Python
  ☆179Updated 2 years ago
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆40Updated last year
• InvestmentSystems / recombinator
  Recombinator is a Python package for statistical resampling in Python. It provides various algorithms for the iid bootstrap, the block bo…
  ☆49Updated last year
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆29Updated 2 weeks ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆84Updated 3 months ago
• maximenc / pycop
  Python library for multivariate dependence modeling with Copulas
  ☆115Updated last year
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆168Updated 6 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• monte-flora / scikit-explain
  A user-friendly python package for computing and plotting machine learning explainability output.
  ☆39Updated last year
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆119Updated 7 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 2 months ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆22Updated 2 years ago
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆86Updated 2 months ago
• georgebv / pyextremes
  Extreme Value Analysis (EVA) in Python
  ☆262Updated 2 months ago
• jejjohnson / gp_model_zoo
  Literature and light wrappers for gaussian process models.
  ☆47Updated 4 years ago
• frazane / scoringrules
  Lightweight library for probabilistic forecast evaluation and optimization.
  ☆63Updated 3 weeks ago
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆134Updated last year
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆118Updated 2 years ago
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated 10 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆243Updated 2 weeks ago
• guillermo-navas-palencia / ropwr
  Robust piecewise regression
  ☆12Updated last year
• alejandrofdez-us / similarity-ts-cli
  ☆30Updated 10 months ago
• xarray-contrib / xskillscore
  Metrics for verifying forecasts
  ☆236Updated 2 weeks ago