Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
☆94Jun 27, 2018Updated 8 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
- ☆10Jun 22, 2022Updated 4 years ago
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆53Sep 6, 2022Updated 3 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆75Nov 22, 2018Updated 7 years ago
- Cumulative Distribution Transform☆16Sep 28, 2017Updated 8 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.
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆50Mar 13, 2023Updated 3 years ago
- Joint distribution optimal transportation for domain adaptation☆107Nov 27, 2017Updated 8 years ago
- Robust Optimal Transport code☆43Oct 6, 2022Updated 3 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆60Apr 15, 2019Updated 7 years ago
- POT : Python Optimal Transport☆2,838Jul 29, 2026Updated 2 weeks ago
- Towards Meta-Pruning via Optimal Transport, ICLR 2024 (Spotlight)☆18Dec 5, 2024Updated last year
- MATLAB code for Stein Point Markov Chain Monte Carlo.☆14Jul 3, 2019Updated 7 years ago
- ☆17Oct 22, 2020Updated 5 years ago
- Reward Estimation for Variance Reduction in Deep Reinforcement Learning☆11May 8, 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.
- More user-friendly version of multi-scale algorithm library for optimal transport.☆27Mar 6, 2025Updated last year
- ☆214Jan 31, 2022Updated 4 years ago
- Multiple Choice Learning of Low Rank Adapters for Language Modeling☆18Feb 26, 2026Updated 5 months ago
- This repository contains the implementation of the paper -- KNOT: Knowledge Distillation using Optimal Transport for Solving NLP Tasks☆15Sep 15, 2022Updated 3 years ago
- Model Fusion via Optimal Transport, NeurIPS 2020☆156Nov 16, 2022Updated 3 years ago
- a collection of AWESOME things about Optimal Transport in Deep Learning☆354May 11, 2024Updated 2 years ago
- Deep Generative Models (Chainer)☆10Oct 12, 2017Updated 8 years ago
- ☆12Apr 5, 2017Updated 9 years ago
- OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/☆14Mar 4, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Learning generative models with Sinkhorn Loss☆32Nov 9, 2018Updated 7 years ago
- ☆88Jul 25, 2024Updated 2 years ago
- Latent optimal transport (LOT) for low rank transport and clustering☆20Jul 22, 2021Updated 5 years ago
- JAX implementation of the JKOnet* architecture presented in "Learning Diffusion at Lightspeed".☆39Mar 18, 2025Updated last year
- This repository contains code for my only numpy basic.☆25Aug 24, 2024Updated last year
- Reading Group @mila-iqia on Computational Optimal Transport for Machine Learning Applications☆13Jun 3, 2022Updated 4 years ago
- ☆46Jul 15, 2020Updated 6 years ago
- Neural Topic Model via Optimal Transport, ICLR 2021☆16Mar 31, 2021Updated 5 years ago
- Reference implementation of the PAL optimizer☆20Oct 20, 2020Updated 5 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.
- Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS☆22Jan 25, 2021Updated 5 years ago
- Geometric loss functions between point clouds, images and volumes☆712May 12, 2026Updated 3 months ago
- Optimal Transport in the Big Data Era☆118Nov 4, 2024Updated last year
- Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)☆23Jan 10, 2022Updated 4 years ago
- Code release for the ICLR paper☆22Jun 13, 2018Updated 8 years ago
- ☆19May 12, 2023Updated 3 years ago
- Easing non-convex optimization with neural networks.☆23Aug 21, 2018Updated 7 years ago