Alternatives and similar repositories for statespace-presentation:

Users that are interested in statespace-presentation are comparing it to the libraries listed below

• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆28Updated this week
• xRiskLab / xBooster
  Explainable Boosted Scoring
  ☆14Updated 5 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆43Updated this week
• pymc-devs / pymc-bart
  ☆103Updated this week
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆11Updated last year
• 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
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆34Updated last year
• ZitongYang / bellman-conformal-inference
  Python implementation for Bellman Conformal Inference algorithm for time series forecasting.
  ☆18Updated last year
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆33Updated 3 months ago
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆68Updated 2 weeks 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
• devindg / pybuc
  Bayesian Structural Time Series / Unobserved Components
  ☆30Updated 2 weeks ago
• luisroque / bayesian_time_series
  Machine Learning models using a Bayesian approach and often PyMC3
  ☆25Updated 4 years ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆97Updated this week
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆22Updated 2 years ago
• fonnesbeck / hierarchical_models_sports_analytics
  Developing Hierarchical Models for Sports Analytics
  ☆18Updated 3 weeks ago
• WojtekFulmyk / mlcausality-krr-paper-replication
  Replication code for the paper "Nonlinear Granger Causality using Kernel Ridge Regression" that introduces and highlights the usage of ml…
  ☆22Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆42Updated this week
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 3 years ago
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 2 weeks ago
• ctanujit / FEWNet
  ☆14Updated 5 months ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆77Updated 3 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• predict-idlab / cct-cmc
  Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner
  ☆15Updated 9 months ago
• AlexAndorra / advanced-gp-pydata
  ☆11Updated 2 months ago
• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated this week
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 3 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year