Learning generative models with Sinkhorn Loss
☆31Nov 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 for the paper "Improving GANs Using Optimal Transport"☆75Nov 22, 2018Updated 7 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Repository detailing updated allowlisting and clonal analysis workflow☆10Feb 1, 2025Updated last year
- ☆12Oct 20, 2020Updated 5 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Jun 10, 2021Updated 4 years ago
- A tensorflow implementation of the Sinkhorn Distance calculation☆27Apr 28, 2019Updated 7 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆29Mar 11, 2020Updated 6 years ago
- Python numerical optimization toolbox☆12Nov 20, 2018Updated 7 years ago
- Syllabus and materials for bioinformatics lecture + lab☆21Apr 23, 2015Updated 11 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆80Jan 25, 2024Updated 2 years ago
- Official repository for Robust Multimodal Large Language Models Against Modality Conflict☆20Jul 9, 2025Updated 10 months 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.
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 5 years ago
- Tensorflow implementation of Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models☆12Mar 18, 2020Updated 6 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
- ☆15Jun 17, 2021Updated 4 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆26Aug 23, 2023Updated 2 years ago
- pytorch implementation of stacked denoising autoencoder☆20Oct 18, 2017Updated 8 years ago
- A novel variant of sliced Wasserstein based on a new slicing technique that utilizes the convolution operator.☆12Jan 14, 2023Updated 3 years ago
- Code for "Gradient descent GAN optimization is locally stable"☆23Nov 5, 2017Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 7 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆47Mar 13, 2023Updated 3 years ago
- About PyTorch implementation for ‘’Robust Multi-View Clustering with Noisy Correspondence‘’ (TKDE 2024)☆11Aug 2, 2024Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆59Jul 25, 2024Updated last year
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Apr 27, 2023Updated 3 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 4 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 2 years ago
- Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering☆10May 26, 2024Updated last year
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆55Jun 21, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Python implementation of smooth optimal transport.☆60May 5, 2021Updated 5 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆202Aug 8, 2023Updated 2 years ago
- ☆10Jan 29, 2019Updated 7 years ago
- Implementation of NAACL'19 Strong and Simple Baselines for Multimodal Utterance Embeddings☆10Jun 4, 2019Updated 6 years ago
- An unofficial PyTorch implementation of "A Sliced Wasserstein Loss for Neural Texture Synthesis" paper [CVPR 2021].☆14Nov 10, 2021Updated 4 years ago
- ☆10Jun 13, 2020Updated 5 years ago
- Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"☆17Jun 27, 2021Updated 4 years ago