moonfolk / Multilevel-Wasserstein-MeansLinks
☆21Updated 2 years ago
Alternatives and similar repositories for Multilevel-Wasserstein-Means
Users that are interested in Multilevel-Wasserstein-Means are comparing it to the libraries listed below
Sorting:
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆75Updated 9 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 5 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 8 years ago
- ☆32Updated 7 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- ☆12Updated 7 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- ☆43Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Deep convolutional gaussian processes.☆82Updated 6 years ago
- Multi-task learning via Structural Regularization☆135Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 10 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆93Updated 7 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆23Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 10 years ago
- Black Box Variational Inference for Bayesian logistic regression☆18Updated 8 years ago
- ☆22Updated 10 years ago