Alternatives and similar repositories for pylevy

Users that are interested in pylevy are comparing it to the libraries listed below

• Tom-Ryder / VIforSDEs
  A variational method for fast, approximate inference for stochastic differential equations.
  ☆44Updated 7 years ago
• ELIFE-ASU / PyInform
  A Python Wrapper for the Inform Information Analysis Library
  ☆53Updated 5 years ago
• mattja / nsim
  Large scale simulation of ODEs or SDEs, analyze time series.
  ☆25Updated 6 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆66Updated 4 months ago
• afermanian / embedding_with_signatures
  ☆13Updated 2 years ago
• jajcayn / pygpso
  Gaussian-Processes Surrogate Optimisation in python
  ☆19Updated 4 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 6 years ago
• vr308 / Generalised-Gaussian-Processes
  Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
  ☆22Updated last year
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• gatsby-sahani / gp-sde
  ☆14Updated last year
• SamDuffield / mocat
  All things Monte Carlo, written in JAX.
  ☆31Updated 2 years ago
• nickc1 / skedm
  Empirical dynamic modeling in scikit-learn's style
  ☆24Updated 7 years ago
• gwgundersen / ml
  A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
  ☆54Updated 4 years ago
• chengl7 / LonGP
  Gaussian process regression + automatical model selection for logitudinal -omics data
  ☆21Updated 4 years ago
• bogeholm / pytisean
  Python wrapper for TISEAN
  ☆29Updated 8 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆44Updated 2 years ago
• pmorenoz / RecyclableGP
  Recyclable Gaussian Processes
  ☆11Updated 2 years ago
• BouchardLab / pyuoi
  The Union of Intersections Framework in Python
  ☆14Updated last week
• AaltoML / spatio-temporal-GPs
  Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
  ☆47Updated 3 years ago
• gianlucadetommaso / Stein-variational-samplers
  Python and MATLAB code for Stein Variational sampling methods
  ☆25Updated 6 years ago
• cvxgrp / strat_models
  A distributed method for fitting Laplacian regularized stratified models.
  ☆25Updated 4 years ago
• pierreablin / faster-ica
  Several maximum likelihood ICA algorithms, including Picard
  ☆22Updated 7 years ago
• markusheinonen / adaptivegp
  Fully nonstationary, heteroscedastic GP for Matlab
  ☆14Updated 10 months ago
• patrick-kidger / Deep-Signature-Transforms
  Code for "Deep Signature Transforms" (NeurIPS 2019)
  ☆93Updated 10 months ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• sweichwald / coroICA-python
  ☆10Updated 4 years ago
• amzn / orthogonal-additive-gaussian-processes
  Light-weighted code for Orthogonal Additive Gaussian Processes
  ☆42Updated 10 months ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆47Updated 2 years ago