Alternatives and similar repositories for Cubist:

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

• jasperroebroek / sklearn-quantile
  ☆22Updated last month
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• FK83 / scoringRules
  scoring rules to evaluate probabilistic forecasts
  ☆60Updated 7 months ago
• konstantinklemmer / sxl
  SXL: Spatially explicit learning of geographic processes with auxiliary tasks
  ☆14Updated 3 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆29Updated this week
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆57Updated last year
• joshloyal / RotationForest
  Implementation of the Rotation Forest by Rodriques et al. 2006
  ☆28Updated last year
• Project-Platypus / PRIM
  Patient Rule Induction Method (PRIM) for Python
  ☆54Updated 7 months ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆227Updated this week
• daleroberts / hdmedians
  High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.
  ☆73Updated 10 months ago
• hendersontrent / feature-set-comp
  Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
  ☆11Updated 2 years ago
• crflynn / skranger
  scikit-learn compatible Python bindings for ranger C++ random forest library
  ☆52Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated 2 years ago
• SamComber / spacv
  Spatial cross-validation in Python.
  ☆45Updated 11 months ago
• saattrupdan / doubt
  Bringing back uncertainty to machine learning.
  ☆51Updated 10 months ago
• lostella / ISF-2020-Deep-Learning-Workshop
  ☆17Updated 4 years ago
• sustainability-lab / polire
  Spatial Interpolation in Python
  ☆12Updated last year
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• AnBowell / whittaker-eilers
  A sparse matrix implementation of Whittaker-Eilers smoothing and interpolation
  ☆35Updated 4 months ago
• OpheliaMiralles / pykelihood
  package useful for likelihood-based inference
  ☆13Updated last month
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated last month
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆47Updated this week
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• KIT-IAI / pyWATTS
  pyWATTS: Python Workflow Automation Tool for Time-Series
  ☆38Updated 9 months ago
• drivendataorg / water-supply-forecast-rodeo-runtime
  Data and runtime repository for the Water Supply Forecast Rodeo competition on DrivenData
  ☆11Updated 2 months ago
• DanaJomar / PyALE
  ALE Plots with python
  ☆62Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆115Updated last year
• monte-flora / scikit-explain
  A user-friendly python package for computing and plotting machine learning explainability output.
  ☆39Updated 7 months ago
• lrjball / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆14Updated 3 years ago