Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
☆94Jun 27, 2018Updated 7 years ago
Alternatives and similar repositories for OTML_DS3_2018
Users that are interested in OTML_DS3_2018 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Apr 5, 2018Updated 8 years ago
- A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is curren…☆245May 9, 2021Updated 4 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆75Nov 22, 2018Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆10Jul 22, 2020Updated 5 years ago
- Cumulative Distribution Transform☆16Sep 28, 2017Updated 8 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.
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Mar 13, 2023Updated 3 years ago
- Robust Optimal Transport code☆43Oct 6, 2022Updated 3 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆58Apr 15, 2019Updated 7 years ago
- POT : Python Optimal Transport☆2,781Mar 11, 2026Updated last month
- Official repository of "Minibatch optimal transport distances; analysis and applications" (https://arxiv.org/pdf/2101.01792.pdf)☆10Oct 15, 2021Updated 4 years ago
- Implementation of WGAN-TS☆13Oct 29, 2019Updated 6 years ago
- ☆15Sep 2, 2020Updated 5 years ago
- ☆17Oct 22, 2020Updated 5 years ago
- A Lloyd algorithm implementation constructing Centroidal Voronoi Diagram in 2D☆10Jul 29, 2016Updated 9 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.
- ☆15Mar 30, 2020Updated 6 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆450May 14, 2018Updated 7 years ago
- Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data☆80Jan 25, 2024Updated 2 years ago
- ☆213Jan 31, 2022Updated 4 years ago
- Repository detailing updated allowlisting and clonal analysis workflow☆10Feb 1, 2025Updated last year
- a collection of AWESOME things about Optimal Transport in Deep Learning☆339May 11, 2024Updated last year
- Model Fusion via Optimal Transport, NeurIPS 2020☆154Nov 16, 2022Updated 3 years ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆38Mar 18, 2025Updated last year
- ☆12Apr 5, 2017Updated 9 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- code for paper "Improving Sequence-to-Sequence Learning via Optimal Transport"☆68Jun 24, 2019Updated 6 years ago
- OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/☆14Mar 4, 2018Updated 8 years ago
- A colcon extension to cache the processing of packages.☆14Jun 16, 2024Updated last year
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 years ago
- Gabriel Peyré. Entropic Approximation of Wasserstein Gradient Flows. SIAM Journal on Imaging Sciences, 8(4), pp. 2323–2351, 2015☆18Jan 7, 2017Updated 9 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆31Dec 21, 2022Updated 3 years ago
- ☆87Jul 25, 2024Updated last year
- ☆15Aug 7, 2021Updated 4 years ago
- Python numerical optimization toolbox☆12Nov 20, 2018Updated 7 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 4 years ago
- ☆17Jun 6, 2022Updated 3 years ago
- This repository contains code for my only numpy basic.☆25Aug 24, 2024Updated last year
- Learning generative models with Sinkhorn Loss☆31Nov 9, 2018Updated 7 years ago
- Syllabus and materials for bioinformatics lecture + lab☆21Apr 23, 2015Updated 10 years ago
- Deep Generative Models (Chainer)☆10Oct 12, 2017Updated 8 years ago
- ICLR2020 Downloader & Search Tool☆18Oct 8, 2019Updated 6 years ago