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
• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆50Updated last year
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆100Updated 2 years ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 8 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆35Updated 3 years ago
• AbdullahO / mSSA
  Multivariate Singular Spectrum Analysis (mSSA): Forecasting and Imputation algorithm for multivariate time series
  ☆134Updated last year
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆113Updated last month
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆169Updated 6 years ago
• msahamed / earthquake_physics_bayesian_nn
  Predict earthquake rupture probability with bayesian deep learning
  ☆15Updated 6 years ago
• klapo / wavelet-recipes
  My recipes for doing continuous wavelet and biwavelet analysis.
  ☆12Updated 3 years ago
• grinsted / gwmcmc
  An implementation of the Goodman & Weare MCMC sampler for matlab
  ☆52Updated 7 years ago
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆37Updated last year
• VU-IVM / VineCopulas
  A pure python implementation for vine copulas
  ☆35Updated 11 months ago
• jasperroebroek / sklearn-quantile
  ☆22Updated 8 months ago
• rtavenar / dtw_resample
  Resample data based on DTW alignment
  ☆10Updated 8 years ago
• alan-turing-institute / mogp-emulator
  Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
  ☆52Updated 2 years ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆159Updated 9 months ago
• martinaragoneses / bma
  Routines for Bayesian Model Averaging.
  ☆33Updated 10 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 4 years ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆91Updated 4 months ago
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆99Updated 8 months ago
• aleksada / DeepKriging
  ☆62Updated 3 years ago
• pjaselin / Cubist
  A Python package for fitting Quinlan's Cubist regression model
  ☆51Updated 2 weeks ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 3 years ago
• Bayes-Works / OpenBDLM
  Bayesian Dynamic Linear Models for time-series analysis
  ☆27Updated 3 years ago
• malcolmw / FastMapSVM
  Official implementation of FastMapSVM algorithm for classifying complex objects.
  ☆21Updated 2 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated 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
• EvaEibl / Volcanoseismology
  ☆12Updated last year
• federhub / pyGRNN
  Python implementation of General Regression Neural Network (Nadaraya-Watson Estimator). A Feature Selection module based on GRNN is also …
  ☆76Updated 4 years ago