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

• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆43Updated 3 years ago
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆38Updated last year
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆52Updated 2 years ago
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆100Updated 2 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 8 years ago
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆136Updated last year
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆169Updated 6 years ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆114Updated 3 weeks ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 7 years ago
• AnticipatedLearningMachine / Anticipated-Learning-Machine
  ☆22Updated 5 years ago
• VU-IVM / VineCopulas
  A pure python implementation for vine copulas
  ☆35Updated last year
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 11 months ago
• rtavenar / dtw_resample
  Resample data based on DTW alignment
  ☆10Updated 8 years ago
• john-hen / KDE-diffusion
  Kernel density estimation via diffusion in 1d and 2d.
  ☆17Updated 9 months ago
• arthurpessa / ordpy
  A Python package for data analysis with permutation entropy and ordinal network methods.
  ☆110Updated 2 weeks ago
• ThomasMBury / ewstools
  Python package for early warning signals (EWS) of bifurcations in time series data.
  ☆94Updated last week
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆53Updated 2 years ago
• nickc1 / skccm
  Convergent Cross Mapping in Scikit Learn's style
  ☆102Updated 5 years ago
• robinthibaut / skbel
  SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
  ☆24Updated last year
• martinaragoneses / bma
  Routines for Bayesian Model Averaging.
  ☆33Updated 10 years ago
• ThomasMBury / deep-early-warnings-pnas
  Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)
  ☆61Updated 2 weeks ago
• aleksada / DeepKriging
  ☆62Updated 3 years ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆159Updated 10 months ago
• zzhang222 / Bayesian-PINN-Pytorch
  ☆16Updated 3 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 3 years ago
• iagolemos1 / thresholdmodeling
  ☆34Updated 4 years ago
• mjlaine / mcmcstat
  MCMC toolbox for Matlab
  ☆93Updated 4 years ago
• cics-nd / cnn-inversion
  Deep autoregressive neural networks for high-dimensional inverse problems
  ☆20Updated 6 years ago
• msahamed / earthquake_physics_bayesian_nn
  Predict earthquake rupture probability with bayesian deep learning
  ☆15Updated 6 years ago