Alternatives and similar repositories for Online-Kernel-Learning

Users that are interested in Online-Kernel-Learning are comparing it to the libraries listed below

• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 8 years ago
• maka89 / Deep-Kernel-GP
  Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
  ☆95Updated 7 years ago
• afbujan / admm_lasso
  Lasso with ADMM in Python/MPI
  ☆28Updated 9 years ago
• bertini36 / GMM
  Variational Inference in Gaussian Mixture Model
  ☆60Updated 5 years ago
• kamdh / tvart
  Time-varying Autoregression with Low Rank Tensors
  ☆15Updated 4 years ago
• FelixOpolka / Deep-Gaussian-Process
  🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
  ☆26Updated last year
• sremes / nonstationary-spectral-kernels
  Implementation for Non-stationary Spectral Kernels (NIPS 2017)
  ☆20Updated 5 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• davidhallac / NetworkLasso
  ☆22Updated 10 years ago
• hichamjanati / srf
  Random Fourier Features
  ☆50Updated 8 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆44Updated 10 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆151Updated 6 years ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 8 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 8 years ago
• otokonoko8 / implicit-variational-inference
  The collection of recent papers about variational inference
  ☆84Updated 6 years ago
• sudiptodip15 / CCMI
  Classifier based mutual information, conditional mutual information estimation; conditional independence testing
  ☆35Updated 6 years ago
• keyonvafa / logistic-reg-bbvi-blog
  Black Box Variational Inference for Bayesian logistic regression
  ☆18Updated 8 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆121Updated 6 years ago
• xiaoshuai09 / Wasserstein-Learning-For-Point-Process
  learning point processes by means of optimal transport and wasserstein distance
  ☆54Updated 7 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• steverab / tensor-gmm
  Implementation of learning a Gaussian mixture model using tensor decomposition.
  ☆15Updated 8 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• tamu-helios / pyten
  TAMU HELIOS Group PyTen Package
  ☆14Updated 6 years ago
• yorkerlin / VB-MixEF
  Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"
  ☆19Updated 4 years ago
• OptMLGroup / SQN
  Sampled Quasi-Newton Methods for Deep Learning
  ☆21Updated 5 years ago
• zi-w / Ensemble-Bayesian-Optimization
  Code repository for Ensemble Bayesian Optimization
  ☆55Updated 6 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 2 years ago
• sremes / nssm-gp
  Non-stationary spectral mixture kernels implemented in GPflow
  ☆28Updated 6 years ago
• USC-Melady / KDD19-CoSTCo
  ☆22Updated 2 years ago
• thjashin / gp-infer-net
  Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019
  ☆42Updated 2 years ago