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

• PrinceJavier / causal_ccm
  Package implementing Convergent Cross Mapping for causality inference in dynamical systems
  ☆47Updated last year
• StefanBloemheuvel / GCNTimeseriesRegression
  Github page for: Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
  ☆36Updated last year
• malcolmw / FastMapSVM
  Official implementation of FastMapSVM algorithm for classifying complex objects.
  ☆19Updated last year
• 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
• VSainteuf / mcssa
  Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.
  ☆42Updated 2 years ago
• ZebinYang / gaminet
  Generalized additive model with pairwise interactions
  ☆66Updated last year
• vinecopulib / pyvinecopulib
  A Python library for vine copula models
  ☆107Updated last month
• deryckt / TIRE
  Autoencoder-based Change Point Detection in Time Series Data using a Time-Invariant Representation
  ☆39Updated 3 years ago
• jasperroebroek / sklearn-quantile
  ☆23Updated 3 months ago
• DanielBok / copulae
  Multivariate data modelling with Copulas in Python
  ☆153Updated 4 months ago
• alvaromc317 / asgl
  A regression solver for high dimensional penalized linear, quantile and logistic regression models'
  ☆86Updated last month
• FilippoMB / Ensemble-Conformalized-Quantile-Regression
  Valid and adaptive prediction intervals for probabilistic time series forecasting.
  ☆95Updated 3 months ago
• tapios / RegEM
  Regularized expectation maximization algorithm (Matlab code)
  ☆27Updated 7 years ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆115Updated 2 years ago
• AnchorBlues / GroupLasso
  Group Lasso package for Python.
  ☆16Updated last year
• keurfonluu / stochopy
  Python library for stochastic numerical optimization
  ☆97Updated 2 years ago
• martinaragoneses / bma
  Routines for Bayesian Model Averaging.
  ☆33Updated 9 years ago
• AlexTMallen / koopman-forecasting
  Long-term probabilistic forecasting of quasiperiodic phenomena using Koopman theory
  ☆36Updated 3 years ago
• msahamed / earthquake_physics_bayesian_nn
  Predict earthquake rupture probability with bayesian deep learning
  ☆15Updated 5 years ago
• klapo / wavelet-recipes
  My recipes for doing continuous wavelet and biwavelet analysis.
  ☆11Updated 3 years ago
• AlexTMallen / dpk
  Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty
  ☆23Updated 3 years ago
• strongio / quantile-regression-tensorflow
  Tensorflow implementation of deep quantile regression
  ☆76Updated 2 years ago
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• masatakashiwagi / analysis-tslearn
  Clustering using tslearn for Time Series Data.
  ☆49Updated 2 years ago
• jwyyy / AdaFNN
  [ICML 2021] Deep Learning for Functional Data Analysis with Adaptive Basis Layers
  ☆28Updated 2 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆41Updated 2 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆23Updated 9 months ago
• AsaCooperStickland / Spike_And_Slab
  Implementation of Gibbs sampling for spike and slab priors
  ☆18Updated 8 years ago
• kieferk / pymssa
  Python implementation of Multivariate Singular Spectrum Analysis (MSSA)
  ☆166Updated 6 years ago
• i6092467 / NNGC-SLIMMBA
  Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry
  ☆15Updated 3 years ago