Alternatives and similar repositories for scikit-hts-examples

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

• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated 2 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• AzulGarza / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆11Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated last year
• microprediction / timeseries-notebooks
  Hello world univariate examples for a variety of time series packages.
  ☆56Updated 9 months ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆69Updated 4 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 4 months ago
• tblume1992 / LazyProphet
  Time Series Forecasting with LightGBM
  ☆85Updated 2 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆36Updated last year
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• kelvnt / data-drift-detector
  Developmental tools to detect data drift
  ☆16Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆155Updated last year
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆115Updated 2 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆144Updated last year
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 3 months ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 5 years ago
• mloning / intro-to-ml-with-time-series-DSSGx-2020
  Python tutorial on machine learning with time series for DSSGx 2020
  ☆23Updated 4 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆150Updated 2 months ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆26Updated 4 months ago
• devindg / pybuc
  Bayesian Structural Time Series / Unobserved Components
  ☆32Updated last month
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆52Updated 5 years ago