Alternatives and similar repositories for NPEET_LNC:

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

• mattjj / pyslds
  ☆93Updated 6 years ago
• gregversteeg / NPEET
  Non-parametric Entropy Estimation Toolbox
  ☆388Updated 2 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆64Updated 5 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 4 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆148Updated 6 years ago
• jayanthkoushik / torch-gel
  Group elastic net implementation in PyTorch.
  ☆45Updated 4 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• SheffieldML / GPclust
  Collapsed Variational Bayes
  ☆68Updated 5 years ago
• mauriziofilippone / deep_gp_random_features
  ☆40Updated 5 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆74Updated 7 years ago
• emtiyaz / vmp-for-svae
  Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)
  ☆44Updated 6 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆31Updated last year
• jameshensman / VFF
  Variational Fourier Features
  ☆83Updated 3 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 11 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆70Updated 8 years ago
• slinderman / pypolyagamma
  Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.
  ☆82Updated 4 years ago
• RogerFrigola / VGPSSM
  Variational Gaussian Process State-Space Models
  ☆23Updated 9 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆96Updated 7 years ago
• LCSL / FALKON_paper
  FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"
  ☆29Updated 4 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆62Updated last month
• fdtomasi / regain
  REGAIN (Regularised Graphical Inference)
  ☆29Updated last year
• ebonilla / AutoGP
  Code for AutoGP
  ☆26Updated 5 years ago
• thjashin / solvegp
  Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)
  ☆22Updated 3 years ago
• MFreidank / pysgmcmc
  Bayesian Deep Learning with Stochastic Gradient MCMC Methods
  ☆38Updated 3 years ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆49Updated 6 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 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