LiamCattell / optimaltransportLinks
Optimal transport transforms
☆23Updated 7 years ago
Alternatives and similar repositories for optimaltransport
Users that are interested in optimaltransport are comparing it to the libraries listed below
Sorting:
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Updated 7 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆93Updated 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
- Implementation of the Sliced Wasserstein Autoencoders☆92Updated 7 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆43Updated 9 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆57Updated 6 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Updated 5 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 9 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆49Updated 9 months ago
- ☆29Updated 4 years ago
- A Python implementation of Monge optimal transportation☆49Updated 2 years ago
- ☆91Updated 6 years ago
- Variational Autoencoder with Arbitrary Conditioning☆82Updated 2 years ago
- A manifold optimization library for deep learning☆251Updated 4 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST☆66Updated 7 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 9 years ago
- Code for Sliced Gromov-Wasserstein☆69Updated 6 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- ☆125Updated 2 years ago
- ☆29Updated 4 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Code for the article "Learning to solve inverse problems using Wasserstein loss"☆28Updated 8 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆102Updated 7 years ago
- Group elastic net implementation in PyTorch.☆46Updated 5 years ago
- Understanding normalizing flows☆132Updated 6 years ago