Alternatives and similar repositories for bayesian_time_series

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

• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆51Updated 4 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆116Updated 2 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 5 months ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆42Updated this week
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆23Updated 11 months ago
• FMenchetti / CausalArima
  An R package to estimate the effect of interventions on univariate time series using ARIMA models
  ☆23Updated last year
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆37Updated 9 months ago
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆25Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• 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
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆76Updated 9 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 7 months ago
• DarkEyes / VLTimeSeriesCausality
  A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.
  ☆56Updated last year
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• lancastercmaf / FFT
  Friday Forecasting Talks materials
  ☆11Updated last year
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆35Updated 3 weeks ago
• pymc-devs / pymc-bart
  ☆121Updated last week
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆145Updated last year
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆61Updated last week
• andrewtavis / causeinfer
  Machine learning based causal inference/uplift in Python
  ☆61Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 3 years ago
• pymc-labs / research
  Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)
  ☆25Updated last month
• kwuthrich / Replication_DCP
  ☆9Updated 3 years ago
• amazon-science / causal-forecasting
  ☆14Updated last year
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆46Updated 4 years ago
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆23Updated 3 years ago