hamilton / SelfOrganizingMaps

Related projects ⓘ

Alternatives and complementary repositories for SelfOrganizingMaps

• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago
• jsalvatier / multichain_mcmc
  Multichain MCMC framework and algorithms based on PyMC.
  ☆17Updated 13 years ago
• klingebj / regreg
  Python algorithms for regularized regression
  ☆24Updated 9 years ago
• LCSL / NystromCoRe
  Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…
  ☆12Updated 5 years ago
• jhamrick / gaussian_processes
  Python library for working with gaussian processes
  ☆14Updated 10 years ago
• nils-werner / pymf
  Python Matrix Factorization Module
  ☆32Updated 9 years ago
• NICTA / dora
  Nonparametric Active Sampling
  ☆11Updated 6 years ago
• lmcinnes / hypergraph
  A library for hypergraphs and hypergraph algorithms
  ☆28Updated 9 years ago
• tensorlib / tensorlib
  Yet another tensor library
  ☆23Updated 7 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• ska-sa / scikits.fitting
  ☆14Updated last year
• karlnapf / kameleon-mcmc
  Code for Kernel Adaptive Metropolis-Hastings
  ☆33Updated 9 years ago
• chengsoonong / digbeta
  Active learning for Big Data
  ☆25Updated 6 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• forcedotcom / distributions
  Low-level primitives for collapsed Gibbs sampling in python and C++
  ☆33Updated 7 months ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 12 years ago
• Sohl-Dickstein / LAHMC
  Look Ahead Hamiltonian Monte Carlo
  ☆30Updated 9 years ago
• jaberg / MonteTheano
  ☆35Updated 11 years ago
• rmgarnett / active_gp_hyperlearning
  Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…
  ☆15Updated 7 years ago
• chyikwei / bnp
  Bayesian nonparametric models for python
  ☆17Updated 6 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• dswah / sgcrfpy
  SGCRFpy: Sparse Gaussian Conditional Random Fields in Python
  ☆29Updated 8 years ago
• arjoly / random-output-trees
  Randomized output tree for multilabel / multi-output regression tasks
  ☆23Updated 8 years ago
• wpm / Naive-Bayes-Gibbs-Sampler
  Gibbs sampler for for a Naive Bayes document classifier
  ☆24Updated 11 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆44Updated 4 years ago
• amueller / information-theoretic-mst
  Information Theoretic Clustering using Minimum Spanning Trees
  ☆19Updated 6 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 8 years ago
• zygmuntz / the-secret-of-the-big-guys
  k-means + a linear model = good results
  ☆55Updated 10 years ago
• mblondel / ivalice
  Boosting and ensemble learning in Python.
  ☆54Updated 9 years ago