Alternatives and similar repositories for Probabilistic-and-Bayesian-PCA

Users that are interested in Probabilistic-and-Bayesian-PCA are comparing it to the libraries listed below

• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆101Updated 2 years ago
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆38Updated 2 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 4 years ago
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆137Updated 2 years ago
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆52Updated 2 years ago
• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆43Updated 3 years ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆119Updated 2 months ago
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆171Updated 6 years ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 8 years ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆159Updated 11 months ago
• iagolemos1 / thresholdmodeling
  ☆34Updated 5 years ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆102Updated 10 months ago
• shergreen / pyppca
  Probabilistic PCA which is applicable also on data with missing values. Missing value estimation is typically better than NIPALS but also…
  ☆15Updated 6 years ago
• VU-IVM / VineCopulas
  A pure python implementation for vine copulas
  ☆37Updated last year
• Rose-STL-Lab / torchTS
  Time series forecasting with PyTorch
  ☆86Updated 3 weeks ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆183Updated 7 months ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆23Updated 3 years ago
• jasperroebroek / sklearn-quantile
  ☆23Updated 10 months ago
• aleksada / DeepKriging
  ☆63Updated 3 years ago
• msahamed / earthquake_physics_bayesian_nn
  Predict earthquake rupture probability with bayesian deep learning
  ☆15Updated 6 years ago
• i6092467 / GVAR
  An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
  ☆79Updated 2 years ago
• zzhang222 / Bayesian-PINN-Pytorch
  ☆16Updated 3 years ago
• cics-nd / cnn-inversion
  Deep autoregressive neural networks for high-dimensional inverse problems
  ☆20Updated 6 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆58Updated last week
• edebrouwer / latentCCM
  Implementation of the Latent CCM paper
  ☆18Updated last year
• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆101Updated 5 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆53Updated 7 years ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆110Updated 2 months ago
• pafoster / path_signatures_introduction
  A Brief Introduction to Path Signatures for Machine Learning Practitioners
  ☆56Updated 4 years ago
• chasmani / piecewise-regression
  piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where th…
  ☆123Updated last year