Alternatives and similar repositories for pybuc

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

• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• maximenc / pycop
  Python library for multivariate dependence modeling with Copulas
  ☆112Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆233Updated last week
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆111Updated 2 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆76Updated 3 weeks ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆194Updated last year
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆98Updated this week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆319Updated last year
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆153Updated last year
• lixixibj / DeepVARwT-data-code
  ☆20Updated 10 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆412Updated last year
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆23Updated 10 months ago
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated this week
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆271Updated 2 weeks ago
• WojtekFulmyk / mlcausality-krr-paper-replication
  Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…
  ☆23Updated last year
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆153Updated 5 months ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆377Updated 11 months ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆114Updated 9 months ago
• takechanman1228 / Effective-Uplift-Modeling
  ☆22Updated last year
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 5 years ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆110Updated 3 months ago
• jmoralez / window_ops
  Fast window operations
  ☆44Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆165Updated 10 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 5 months ago
• blent-ai / pycopula
  Python copulas library for dependency modeling
  ☆102Updated 4 years ago