Learning generative models with Sinkhorn Loss
☆32Nov 9, 2018Updated 7 years ago
Alternatives and similar repositories for Sinkhorn-GAN
Users that are interested in Sinkhorn-GAN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code accompanying the paper Sobolev GAN https://arxiv.org/abs/1711.04894☆12Feb 22, 2018Updated 8 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆75Nov 22, 2018Updated 7 years ago
- ☆10Oct 4, 2021Updated 5 years ago
- ☆10Jun 22, 2022Updated 4 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆12Oct 20, 2020Updated 6 years ago
- ☆18Dec 6, 2020Updated 5 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Jun 10, 2021Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆61Aug 16, 2018Updated 8 years ago
- Repository detailing updated allowlisting and clonal analysis workflow☆11Feb 1, 2025Updated last year
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Apr 30, 2019Updated 7 years ago
- A tensorflow implementation of the Sinkhorn Distance calculation☆27Apr 28, 2019Updated 7 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆34Jan 7, 2017Updated 9 years ago
- Python numerical optimization toolbox☆12Nov 20, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆29Mar 11, 2020Updated 6 years ago
- Tensorflow implementation of Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models☆12Mar 18, 2020Updated 6 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 years ago
- Solving unregularized optimal transport problems with Julia☆18Sep 16, 2023Updated 3 years ago
- Optimal transport and generalizations☆68May 13, 2019Updated 7 years ago
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 6 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆83Jan 25, 2024Updated 2 years ago
- Distributionally robust machine learning with Pytorch and Scikit-learn wrappers☆25Mar 12, 2026Updated 7 months ago
- Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence☆19Nov 12, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- pytorch implementation of stacked denoising autoencoder☆20Oct 18, 2017Updated 9 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆24Nov 18, 2019Updated 6 years ago
- ☆11Apr 10, 2023Updated 3 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆447May 14, 2018Updated 8 years ago
- Sampling and Noise☆26Nov 11, 2019Updated 6 years ago
- ☆15Jun 17, 2021Updated 5 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 5 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 3 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- IPython-based debugging and exploring - a collection of auxiliary functions☆16Oct 9, 2026Updated 3 weeks ago
- Spherical array processing in python.☆12Sep 21, 2026Updated last month
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆57Jun 21, 2021Updated 5 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆203Aug 8, 2023Updated 3 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- The open source community's implementation of the all-new Multi-Modal Causal Attention from "DeepSpeed-VisualChat: Multi-Round Multi-Imag…☆11Mar 11, 2024Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆61Jul 25, 2024Updated 2 years ago