Alternatives and similar repositories for ThymeBoost

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

• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆162Updated last year
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆417Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆234Updated this week
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆320Updated last year
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆380Updated last year
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆153Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆210Updated last year
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆426Updated 9 months ago
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆139Updated 3 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆155Updated last year
• mikekeith52 / scalecast
  The practitioner's forecasting library
  ☆341Updated last week
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆166Updated 2 weeks ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆273Updated last week
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆425Updated 10 months ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆686Updated last week
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆77Updated last week
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆110Updated 3 months ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆151Updated 3 months ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆116Updated 10 months ago
• kdgutier / esrnn_torch
  ☆157Updated 4 years ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆110Updated 4 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated 2 years ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆102Updated this week
• tblume1992 / MFLES
  ☆115Updated last year
• devindg / pybuc
  Bayesian Structural Time Series / Unobserved Components
  ☆32Updated last month
• Nixtla / transfer-learning-time-series
  Transfer 🤗 Learning for Time Series Forecasting
  ☆251Updated 7 months ago
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆116Updated this week