Alternatives and similar repositories for ELIS

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

• BigBayes / SMS
  Sampling via Moment Sharing
  ☆11Updated 10 years ago
• danilkuzin / GP-EnKF
  Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…
  ☆17Updated 7 years ago
• shaobohan / VariationalGaussianCopula
  Matlab Code for Variational Gaussian Copula Inference
  ☆16Updated 9 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• xiaoshuai09 / Recurrent-Point-Process
  Modeling the asynchronous event sequence via Recurrent Point Process
  ☆61Updated 8 years ago
• OctoberChang / klcpd_code
  Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
  ☆62Updated 2 years ago
• abietti / dpmm
  Variational inference for Dirichlet process mixture models with multinomial mixture components.
  ☆35Updated 12 years ago
• jonzia / Recurrent_Autoencoder
  Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).
  ☆30Updated 4 years ago
• yuqirose / tensor_train_RNN
  Clean repo for tensor-train RNN implemented in TensorFlow
  ☆69Updated 6 years ago
• kirarenctaon / timenet
  ☆37Updated 6 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• gditzler / IncrementalLearning
  Implementation of incremental learning algorithms for Matlab.
  ☆18Updated 11 years ago
• boschresearch / PR-SSM
  Python implementation of the PR-SSM.
  ☆58Updated 7 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 8 years ago
• kamperh / bayes_gmm
  Bayesian Gaussian mixture models in Python.
  ☆64Updated 2 years ago
• TENGBINN / Bayes-by-Backprop
  TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper
  ☆51Updated 7 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• hiroyuki-kasai / RSOpt
  Riemannian stochastic optimization algorithms: Version 1.0.3
  ☆67Updated 3 years ago
• ebonilla / mtgp
  Multi-task Gaussian Process
  ☆45Updated 11 years ago
• likang7 / variational-dpgmm
  Variational Dirichlet Process Gaussian Mixture Models
  ☆29Updated 11 years ago
• melihkandemir / atldgp
  Asymmetric Transfer Learning with Deep Gaussian Processes
  ☆18Updated 10 years ago
• limbo018 / FRU
  ☆40Updated 7 years ago
• KBascol / Unsupervised-Interpretable-Pattern-Discovery-in-Time-Series-Using-Autoencoders
  Code in python with tensorflow of the method described in the paper Unsupervised Interpretable Pattern Discovery in Time Series Using Aut…
  ☆21Updated 7 years ago
• LCAS / RKN
  ☆47Updated 3 years ago
• YoungHJung / OnlineBoostingWithVFDT
  Online multiclass boosting algorithm that uses VFDT as weak learners
  ☆17Updated 7 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆34Updated 9 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 8 years ago
• pbrakel / anica
  Adversarial Non-linear Independent Component Analysis
  ☆50Updated 8 years ago
• ritheshkumar95 / pytorch-normalizing-flows
  ☆17Updated 7 years ago
• GoudetOlivier / CGNN
  Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
  ☆100Updated 6 years ago