Alternatives and similar repositories for pylds

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

• mattjj / pyslds
  ☆96Updated 7 years ago
• mattjj / pybasicbayes
  ☆155Updated 5 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 5 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated 2 years ago
• michaelchughes / NPBayesHMM
  Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…
  ☆78Updated 7 years 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
• bnpy / bnpy
  Bayesian nonparametric machine learning for Python
  ☆227Updated 2 years ago
• mattjj / pyhsmm-autoregressive
  autoregressive plugin
  ☆27Updated 2 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• ganguli-lab / twpca
  🕝 Time-warped principal components analysis (twPCA)
  ☆127Updated 4 years ago
• thangbui / geepee
  A collection of Gaussian process models
  ☆30Updated 8 years ago
• hmorioka / TCL
  Time-Contrastive Learning
  ☆65Updated 7 years ago
• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆70Updated 4 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆37Updated 5 years ago
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆247Updated 2 months ago
• slinderman / recurrent-slds
  Recurrent Switching Linear Dynamical Systems
  ☆111Updated 2 years ago
• rmgarnett / gpml_extensions
  Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.
  ☆33Updated 8 years ago
• DrugowitschLab / VBLinLogit
  Variational Bayes linear and logistic regression
  ☆34Updated 6 years ago
• ericsuh / dirichlet
  Dirichlet MLE python library
  ☆117Updated 2 weeks ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆50Updated 3 years ago
• SheffieldML / notebook
  Collection of jupyter notebooks for demonstrating software.
  ☆169Updated 2 years ago
• mattjj / pyhsmm
  ☆563Updated 7 months ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆24Updated 9 years ago
• kimjingu / nonnegfac-python
  Python toolbox for nonnegative matrix factorization
  ☆115Updated 7 years ago
• Mogeng / IOHMM
  Input Output Hidden Markov Model (IOHMM) in Python
  ☆169Updated last year
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆274Updated 7 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆75Updated 8 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• acerbilab / vbmc
  Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
  ☆226Updated 2 years ago