bobye / d2_kmeansLinks
Fast discrete distributions clustering using Wasserstein barycenter with sparse support
☆12Updated 6 years ago
Alternatives and similar repositories for d2_kmeans
Users that are interested in d2_kmeans are comparing it to the libraries listed below
Sorting:
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆20Updated 5 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan☆16Updated 8 years ago
- A library for hypergraphs and hypergraph algorithms☆28Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- A CUDA implementation of non-negative matrix factorization for GPUs.☆34Updated 7 years ago
- ☆65Updated 5 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Doubly Stochastic Neighbor Embedding on Spheres☆59Updated 5 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 7 years ago
- Orgainzed Digital Intelligent Network (O.D.I.N)☆22Updated 2 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 10 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Sparse-input neural networks☆23Updated 2 years ago
- Algorithms for learning network structure from effective resistances and other random-walk-based similarities.☆31Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated last month
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Distributed NMF/NTF Library☆47Updated 7 months ago
- ☆16Updated 7 years ago
- Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-…☆43Updated 4 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago