j2kun / mwua

Related projects: ⓘ

• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 7 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
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆35Updated 7 years ago
• datamicroscopes / mixturemodel
  Dirichlet process mixture model (DPMM) for datamicroscopes
  ☆12Updated 8 years ago
• sigopt / MOE
  A global, black box optimization engine for real world metric optimization.
  ☆66Updated 9 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 7 years ago
• datamicroscopes / lda
  Latent dirichlet allocation (LDA) for datamicroscopes
  ☆39Updated 8 years ago
• allentran / graph2vec
  Theano implementation of GloVe for graphs
  ☆45Updated 9 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• alextp / pylda
  An implementation of gibbs sampling for Latent Dirichlet Allocation
  ☆30Updated 13 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆27Updated 8 years ago
• lukasvermeer / bootstrapbandits
  Based on Thompson sampling with the online bootstrap (Dean Eckles, Maurits Kaptein). http://arxiv.org/abs/1410.4009
  ☆11Updated 9 years ago
• albietz / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated last year
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 8 years ago
• thierry-silbermann / libfm_python
  ☆10Updated 9 years ago
• EvoML / evolved-forests
  Using GP and metafeatures to grow better forests for prediction.
  ☆10Updated 8 years ago
• fabianp / pytron
  Trust Region Newton optimization in Python
  ☆26Updated 9 years ago
• DeloitteHux / proficiency-metric
  ☆28Updated 8 years ago
• klingebj / regreg
  Python algorithms for regularized regression
  ☆24Updated 9 years ago
• benanne / theano_wmf
  Weighted matrix factorization on the GPU with Theano and scikits.cuda
  ☆12Updated 10 years ago
• MLWave / normalized-compression-neighbors
  Document or binary file vectorization with Normalized Compression Distance in Python.
  ☆16Updated 8 years ago
• datamicroscopes / irm
  Infinite relational model (IRM) for datamicroscopes
  ☆14Updated 8 years ago
• tsoernes / gfsopt
  Convenient hyperparameter optimization
  ☆14Updated 4 months ago
• rgrosse / compositional_structure_search
  ☆46Updated 10 years ago
• JonathanRaiman / rsm
  Topic analysis using RSM or PVDM.
  ☆11Updated 9 years ago
• lateral / hyperplane-hasher
  Implementation of an algorithm computing the nearest "N" neighbours to a vector, using a collection of hyperplane hashers.
  ☆30Updated 9 years ago
• EpistasisLab / tpot-competition
  ☆10Updated this week