jgasthaus / libPLUMP

Related projects ⓘ

Alternatives and complementary repositories for libPLUMP

• FurongHuang / TensorDecomposition4TopicModeling
  ☆20Updated 7 years ago
• forcedotcom / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆33Updated 7 months ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆31Updated 8 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• ICML14MoMCompare / spectral-learn
  Collection of three method of moments based algorithms for learning stochastic languages.
  ☆15Updated 9 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• HIPS / pgmult
  Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
  ☆60Updated 3 years ago
• rgiordan / CovariancesRobustnessVBPaper
  ☆12Updated last year
• google-research / autoconj
  Recognizing and exploiting conjugacy without a domain-specific language
  ☆36Updated 4 years ago
• premgopalan / bnprec
  Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…
  ☆15Updated 10 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• matejbalog / gumbel-relatives
  Code to reproduce experiments appearing in the academic paper Lost Relatives of the Gumbel Trick
  ☆16Updated 7 years ago
• cjf00000 / ScaCTM
  Scalable inference for Correlated Topic Models
  ☆30Updated 9 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆40Updated 7 years ago
• djsutherland / igms
  Implicit generative models and related stuff based on the MMD, in PyTorch
  ☆16Updated 4 years ago
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆68Updated 10 years ago
• galinngeorgiev / ACE
  code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585
  ☆14Updated 9 years ago
• jacobeisenstein / unix-sociolinguistics
  How (but not why) to do Twitter sociolinguistic analysis in the Unix Shell
  ☆10Updated 8 years ago
• davidandrzej / PyIBP
  NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
  ☆49Updated 6 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• mattjj / variational_autoencoder
  ☆8Updated 8 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• GRAAL-Research / PAC-Bayes_sample_compress_for_kernel_methods
  Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)
  ☆9Updated 10 years ago
• shashankg7 / Matrix-Factorization-GPU
  Large scale matrix factorization on GPU
  ☆19Updated 8 years ago
• mimno / anchor
  Mallet-compatible anchor-based topic model
  ☆37Updated 10 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆21Updated 9 years ago
• stokasto / sgmcmc
  Stochastic Gradient MCMC algorithms implemented in theano (and autograd)
  ☆9Updated 7 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 7 years ago