Alternatives and similar repositories for tucker3d

Users that are interested in tucker3d are comparing it to the libraries listed below

• lawrennd / vargplvm
  Variational Bayesian GP-LVM model in MATLAB.
  ☆12Updated 10 years ago
• Bihaqo / TT-MRF
  ☆14Updated 10 years ago
• imurray / chol-rev
  Backpropagate derivatives through the Cholesky decomposition
  ☆58Updated 5 years ago
• anteagle / GPU_BADMM_MT
  Bregman ADMM for mass transportation on GPU
  ☆17Updated 10 years ago
• SheffieldML / vargplvm
  Bayesian GPLVM in MATLAB and R
  ☆75Updated 8 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• mrouvier / movMF
  Mixtures of von Mises-Fisher Distributions
  ☆11Updated 10 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆19Updated 5 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• lawrennd / fgplvm
  Faster GP-LVM software in MATLAB.
  ☆31Updated 4 years ago
• afriesen / rdis
  C++ code for the RDIS algorithm from "Recursive Decomposition for Nonconvex Optimization." Friesen and Domingos, IJCAI 2015.
  ☆57Updated 9 years ago
• HIPS / maxwells-daemon
  Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
  ☆33Updated 9 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• edouardoyallon / scatwave
  ScatWave is a Torch implementation of scattering using CUDA
  ☆21Updated 7 years ago
• epfl-lts2 / pyunlocbox
  A Python convex optimization package using proximal splitting methods
  ☆114Updated 2 years ago
• sergeyvoronin / LowRankMatrixDecompositionCodes
  RSVDPACK: Implementations of fast algorithms for computing the low rank SVD, interpolative and CUR decompositions of a matrix, using ran…
  ☆93Updated 2 years ago
• nitromannitol / stochastic-quasi-newton
  modular implementation of new algorithm
  ☆13Updated 11 years ago
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 11 years ago
• arahuja / hamiltonian-monte-carlo
  Implementation of Hamiltonian Monte Carlo using Google's TensorFlow
  ☆46Updated 9 years ago
• lvdmaaten / metriclearning
  Torch package for metric learning.
  ☆43Updated 8 years ago
• karlstratos / cca
  ☆10Updated 11 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• arolet / wasserstein-dictionary-learning
  A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
  ☆32Updated 9 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• keskarnitish / NQN
  A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization
  ☆13Updated 8 years ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 9 years ago
• trungngv / gprn
  Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'
  ☆22Updated 11 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 8 years ago