Alternatives and similar repositories for kbmf

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

• cangermueller / ppca
  Probabilistic Principal Component Analysis
  ☆64Updated 8 years ago
• markvdw / GPflow-inter-domain
  Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
  ☆13Updated 8 years ago
• davidhallac / NetworkLasso
  ☆22Updated 10 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• drumichiro / nmf-and-ntf
  The sample code to study non-negative matrix and tensor factorization.
  ☆38Updated 5 years ago
• AlgorithmFan / BPTF
  Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
  ☆21Updated 9 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆34Updated 10 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• AlgorithmFan / GraphicalModelForRecommendation
  Graphical Model for Recommender Systems
  ☆20Updated 9 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 8 years ago
• dtak / hs-bnn-public
  ☆11Updated 7 years ago
• elibol / amle
  Experiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
  ☆20Updated 8 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 7 years ago
• TimSalimans / LinRegVB
  Code for my paper "Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression"
  ☆11Updated 12 years ago
• steveli / gp-adapter
  Scalable GP Adapter for Time Series Classification
  ☆13Updated 8 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆48Updated last year
• rsheth80 / pmf-automl
  Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.
  ☆40Updated 3 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• rmgarnett / active_learning
  Active learning toolbox for MATLAB
  ☆46Updated 8 years ago
• melihkandemir / atldgp
  Asymmetric Transfer Learning with Deep Gaussian Processes
  ☆18Updated 10 years ago
• pmorenoz / HierCPD
  Hierarchical Change-Point Detection
  ☆14Updated 7 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago
• erichson / rTensor
  Randomized Tensor Decompositions
  ☆30Updated 9 years ago
• dunan / MultiVariatePointProcess
  ☆77Updated 7 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• hechtlinger / graph_cnn
  Supplementary code to "Convolutional Neural Networks Generalization Utilizing the Data Graph Structure"
  ☆49Updated 8 years ago
• BigBayes / SMS
  Sampling via Moment Sharing
  ☆11Updated 10 years ago
• aatapa / RLScore
  ☆68Updated 2 weeks ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago