Alternatives and similar repositories for sdp_kmeans

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

• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆32Updated 9 years ago
• HIPS / hips-lib
  Library of common tools for machine learning research.
  ☆41Updated 7 years ago
• kuleshov / tensor-factorization
  Tensor Factorization via Matrix Factorization
  ☆34Updated 9 years ago
• rueberger / MJHMC
  Python implementation of Markov Jump Hamiltonian Monte Carlo
  ☆24Updated 8 years ago
• jaanli / proximity_vi
  This code accompanies the proximity variational inference paper.
  ☆18Updated 6 years ago
• Bihaqo / exp-machines
  Exponential Machines implementation
  ☆41Updated 3 months ago
• rosinality / knotter
  Implementation of Mapper algorithm for Topological Data Analysis
  ☆45Updated 5 years ago
• bioinf-jku / librfn
  Rectified Factor Networks
  ☆38Updated 5 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• Sohl-Dickstein / Minimum-Probability-Flow-Learning
  Matlab code implementing Minimum Probability Flow Learning.
  ☆69Updated 10 years ago
• jakevdp / pypropack
  A python wrapper for the PROPACK library
  ☆51Updated 8 years ago
• hoytak / pyksvd
  A highly optimized, parallel implementation of the Batch-OMP version of the KSVD learning algorithm.
  ☆78Updated 5 years ago
• aschein / bptd
  Bayesian Poisson Tucker decomposition
  ☆17Updated 8 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 8 years ago
• stan-dev / nomad
  Fast autodiff.
  ☆19Updated 10 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 6 years ago
• casmls / casmls.github.io
  Columbia Advanced Machine Learning Seminar
  ☆24Updated 6 years ago
• rgrosse / compositional_structure_search
  ☆46Updated 11 years ago
• smallk / smallk
  High-performance Non-negative Matrix Factorizations (NMF) - Python/C++
  ☆49Updated 7 years ago
• risi-kondor / pMMF
  The pMMF Multiresolution Matrix Factorization Library
  ☆27Updated 7 years ago
• fabianp / DSOML_2017
  ☆12Updated 8 years ago
• Networks-Learning / mlss-2016
  MLSS 2016 material.
  ☆22Updated 9 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 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
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• HIPS / firefly-monte-carlo
  Implementation of an algorithm for Markov chain Monte Carlo with data subsampling
  ☆32Updated 9 years ago
• PMBio / pygp
  A Gaussian process toolbox in python
  ☆42Updated 13 years ago
• ExpectationBackpropagation / EBP_Matlab_Code
  ☆11Updated 9 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