Alternatives and similar repositories for tslib

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

• rakshitha123 / WeeklyForecasting
  This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model…
  ☆47Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• vcerqueira / experiments-performance_estimation
  Comparing different performance estimation methods for time series forecasting tasks
  ☆37Updated last month
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆60Updated last year
• sidravi1 / Blog
  ☆24Updated 4 years ago
• alan-turing-institute / bocpdms
  ☆32Updated 6 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆22Updated 9 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 4 years ago
• vcerqueira / MLforForecasting
  Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters
  ☆41Updated 5 years ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• ig248 / deepquantiles
  Deep Continuous Quantile Regression and other experiments.
  ☆13Updated 5 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 3 months ago
• mloning / sktime-m4
  Using sktime to replicate and extend the M4 forecasting competition
  ☆16Updated 4 years ago
• thequackdaddy / tweedie
  Tweedie family density estimation in python
  ☆28Updated last year
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• CamDavidsonPilon / lifelike
  WIP predicted survival functions
  ☆37Updated 5 years ago
• klostest / uplift_modeling
  ☆17Updated 4 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 5 years ago
• mavillan / tsforest
  Time series forecasting with tree ensembles
  ☆13Updated 3 years ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆17Updated 7 months ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year