kimiandj / gsw
☆39Updated 5 years ago
Alternatives and similar repositories for gsw:
Users that are interested in gsw are comparing it to the libraries listed below
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 4 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Distributional Sliced-Wasserstein distance code☆49Updated 6 months ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 5 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆24Updated 5 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 6 years ago
- Learning generative models with Sinkhorn Loss☆28Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 6 months ago
- Official Release of "Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling"☆49Updated 4 years ago
- ☆24Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆66Updated 5 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated last year
- ☆13Updated 4 years ago
- ☆23Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆45Updated 4 years ago
- ☆31Updated 4 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- ☆12Updated 6 years ago
- ☆16Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- ☆53Updated 6 months ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities☆21Updated 10 months ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆141Updated 5 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆62Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated last year
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆22Updated 5 years ago