☆10Jun 22, 2022Updated 4 years ago
Alternatives and similar repositories for OTML_course_2022
Users that are interested in OTML_course_2022 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A list of papers for group meeting☆20Jun 20, 2026Updated 2 months ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆32Dec 21, 2022Updated 3 years ago
- Paper preview on group meeting☆11Jul 10, 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
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 5 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.
- Normalized Wasserstein for Mixture Distributions☆11Mar 24, 2023Updated 3 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆53Sep 6, 2022Updated 3 years ago
- Multi-Source Domain Adaptation via Optimal Transport for Student-Teacher Learning - UAI 2021☆23Jan 26, 2025Updated last year
- 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
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆61Jul 25, 2024Updated 2 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆93Jun 27, 2018Updated 8 years ago
- ☆24Sep 21, 2021Updated 4 years ago
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 7 years ago
- Learning generative models with Sinkhorn Loss☆32Nov 9, 2018Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- [ECAI-2024] OmniCLIP: Adapting CLIP for Video Recognition with Spatial-Temporal Omni-Scale Feature Learning☆16Jan 7, 2025Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆67Feb 3, 2023Updated 3 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 5 years ago
- "A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment" in ACL 2023☆13Dec 5, 2023Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Official Pytorch implementation for "Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters" (NeurIPS 2023)☆10Mar 5, 2024Updated 2 years ago
- NLP algorithms for Russian grammar check☆20Jun 9, 2024Updated 2 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆92Jun 6, 2018Updated 8 years ago
- ☆43Feb 21, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆15Feb 8, 2022Updated 4 years ago
- A brief tutorial on the Wasserstein auto-encoder☆88Dec 13, 2018Updated 7 years ago
- Code for the paper "Deep Joint Two-stream Wasserstein Auto-Encoder and Selective Attention Alignment for Unsupervised Domain Adaptation" …☆11Jun 7, 2019Updated 7 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Jan 22, 2020Updated 6 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
- A fast implementation of the histogram loss in pytorch☆15Jan 29, 2019Updated 7 years ago
- "Applying Regularized Schrödinger-Bridge-Based Stochastic Process in Generative Modeling"☆11Aug 16, 2022Updated 4 years ago
- Open-source framework for science presentations and talks, generating interactive HTML from simple Python based interface.☆13Jul 21, 2025Updated last year
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆12Jun 17, 2022Updated 4 years ago
- Code for Data61's tutorial on Graph Representation Learning☆16May 13, 2024Updated 2 years ago
- Mixture of Experts from scratch☆14Apr 12, 2024Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆44Jun 26, 2020Updated 6 years ago
- code released for our TIP 2021 paper "Adversarial Domain Adaptation with Prototype-based Normalized Output Conditioner"☆15May 24, 2023Updated 3 years ago
- Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".☆13Dec 27, 2023Updated 2 years ago
- ☆12Apr 1, 2023Updated 3 years ago