Alternatives and similar repositories for active_gp_hyperlearning

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

• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 10 years ago
• markvdw / GParML
  Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.
  ☆43Updated 11 years ago
• jmetzen / sparse-filtering
  Unsupervised feature learning based on sparse-filtering
  ☆55Updated 10 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆33Updated 10 years ago
• tyler-tomita / RandomerForest
  Discriminant Projection Forest results, datasets, etc.
  ☆44Updated 5 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆86Updated 4 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆48Updated last month
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 7 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• fhuszar / thesis
  my PhD thesis on Bayesian inference
  ☆27Updated 11 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 11 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 10 years ago
• aatapa / RLScore
  ☆68Updated last year
• optml / CoCoA
  ☆19Updated 7 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 8 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• ThomasMiconi / BOHP_RNN
  Backprop training of recurrent neural networks with Hebbian plastic connections
  ☆20Updated 4 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• jamesrobertlloyd / automl-phase-1
  2nd place submission to the AutoML competition - phase 1
  ☆22Updated 10 years ago
• fated / libcp
  LibCP -- A Library for Conformal Prediction
  ☆12Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago