CollinRooney12 / htsprophet

Related projects ⓘ

Alternatives and complementary repositories for htsprophet

• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆56Updated 2 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆236Updated 4 years ago
• robjhyndman / M4metalearning
  ☆116Updated 5 years ago
• kdgutier / esrnn_torch
  ☆156Updated 3 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆197Updated 8 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆179Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆141Updated last year
• matthiasanderer / m5-accuracy-competition
  My second place solution in the M5 Accuracy competition
  ☆68Updated 4 years ago
• jamalsenouci / causalimpact
  Python port of CausalImpact R library
  ☆277Updated 6 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆45Updated 3 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆318Updated 5 years ago
• MBrouns / timeseers
  Time should be taken seer-iously
  ☆311Updated last year
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆329Updated 4 years ago
• pyro-ppl / Pyro-M5-Starter-Kit
  Learn Pyro through the M5 forecasting competition
  ☆84Updated 4 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 4 years ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆582Updated last year
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆160Updated 7 months ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆235Updated 6 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆60Updated 10 months ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆458Updated 5 months ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆307Updated 3 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆183Updated 5 years ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆220Updated 5 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆143Updated 9 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆243Updated 10 months ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆120Updated 5 months ago
• HansikaPH / time-series-forecasting
  Recurrent Neural Network Implementations for Time Series Forecasting
  ☆72Updated 2 years ago
• AzulGarza / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆11Updated last year