davidhallac / NetworkLasso

Related projects ⓘ

Alternatives and complementary repositories for NetworkLasso

• mehmetgonen / kbmf
  Kernelized Bayesian Matrix Factorization
  ☆17Updated 6 years ago
• wutao27 / GtensorSC
  codes for the paper General Tensor Spectral Co-clustering for Higher-Order Data
  ☆17Updated 7 years ago
• lockEF / MultiwayRegression
  Perform tensor-on-tensor regression
  ☆19Updated 5 years ago
• davidhallac / NetworkADMM
  ☆9Updated 9 years ago
• moonfolk / Multilevel-Wasserstein-Means
  ☆20Updated last year
• BigBayes / SGRLD
  Stochastic Gradient Riemannian Langevin Dynamics
  ☆32Updated 9 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 8 years ago
• kmi010 / Time-series-cluster-kernel-TCK-
  Matlab implementation of TCK
  ☆12Updated 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
• davidhallac / TVGL
  ☆53Updated 7 years ago
• didriknielsen / ds3_abi_exercises
  Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018
  ☆22Updated 6 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆45Updated last year
• matthieuheitz / WassersteinDictionaryLearning
  Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…
  ☆18Updated 5 years ago
• karlnapf / ds3_kernel_testing
  Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
  ☆26Updated 5 years ago
• vsmolyakov / DP_means
  Dirichlet Process K-means
  ☆46Updated 4 months ago
• hichamjanati / mtw
  Wasserstein regularization for sparse multi-task regression
  ☆15Updated 4 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 3 years ago
• jjfeng / spinn
  Sparse-input neural networks
  ☆22Updated last year
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 5 years ago
• snap-stanford / snapvx
  ☆65Updated 4 years ago
• dtak / hs-bnn-public
  ☆12Updated 6 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 8 years ago
• wangshusen / RandMatrixMatlab
  simple MATLAB code for randomized matrix computation
  ☆23Updated 8 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆63Updated 6 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆10Updated 4 years ago
• arbenson / tensor-sc
  Tensor spectral clustering.
  ☆28Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• blei-lab / zero-inflated-embedding
  Code for the icml paper "zero inflated exponential family embedding"
  ☆29Updated 7 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• jingcoco / Online-Kernel-Learning
  This is all the codes used in "Large Scale Online Kernel Learning"
  ☆11Updated 7 years ago