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.
  ☆42Updated 2 years ago
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆133Updated last year
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆47Updated last year
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆166Updated 6 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆97Updated 2 years ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 7 years ago
• klapo / wavelet-recipes
  My recipes for doing continuous wavelet and biwavelet analysis.
  ☆12Updated 3 years ago
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆107Updated last month
• malcolmw / FastMapSVM
  Official implementation of FastMapSVM algorithm for classifying complex objects.
  ☆19Updated last year
• cics-nd / cnn-inversion
  Deep autoregressive neural networks for high-dimensional inverse problems
  ☆20Updated 6 years ago
• CPOMUCL / GPSat
  Python package to interpolate nonstationary geospatial fields from observation data using local Gaussian process models
  ☆12Updated 10 months ago
• john-hen / KDE-diffusion
  Kernel density estimation via diffusion in 1d and 2d.
  ☆16Updated 4 months ago
• aleksada / DeepKriging
  ☆52Updated 3 years ago
• jnelson18 / pyquantrf
  Here is a [quantile random forest](http://jmlr.org/papers/v7/meinshausen06a.html) implementation that utilizes the [SciKitLearn](https://…
  ☆18Updated 6 months ago
• jasperroebroek / sklearn-quantile
  ☆23Updated 4 months ago
• martinaragoneses / bma
  Routines for Bayesian Model Averaging.
  ☆33Updated 9 years ago
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆36Updated last year
• njujinchun / BCNN4GRACE
  A Bayesian Convolutional Neural Network for reconstructing GRACE TWSA signals
  ☆17Updated 2 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 7 years ago
• guoliu / optimizer
  MCMC, Differential Evolution Markov Chain, Ensemble Kalman filter, Approximate Bayesian Computing-Population Monte Carlo, and modeling av…
  ☆36Updated 10 years ago
• smousavi05 / Unsupervised_Deep_Learning
  Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
  ☆74Updated 3 years ago
• peernow / CME_NCOMMS_2020
  Supplementary files and scripts for Nowack et al., Causal networks for climate model evaluation and constrained projections, Nature Commu…
  ☆19Updated 3 years ago
• zhaokg / Rbeast
  Bayesian Change-Point Detection and Time Series Decomposition
  ☆324Updated 10 months ago
• GAMES-UChile / mogptk
  Multi-Output Gaussian Process Toolkit
  ☆175Updated last month
• Bayes-Works / OpenBDLM
  Bayesian Dynamic Linear Models for time-series analysis
  ☆27Updated 3 years ago
• zzhang222 / Bayesian-PINN-Pytorch
  ☆16Updated 3 years ago
• judithyueli / DASoftware
  Matlab library of data assimilation methods
  ☆18Updated 9 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…
  ☆118Updated last year
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆153Updated 5 months ago