https://github.com/PetrMokrov/Large-Scale-Wasserstein-Gradient-Flows
Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
https://github.com/PetrMokrov/Large-Scale-Wasserstein-Gradient-Flows
bayesian-logistic-regression deep-learning fokker-planck-equation nonlinear-filtering optimal-transport pytorch wasserstein-gradient-flows
Last synced: 7 months ago
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Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)
- Host: GitHub
- URL: https://github.com/PetrMokrov/Large-Scale-Wasserstein-Gradient-Flows
- Owner: PetrMokrov
- License: mit
- Created: 2021-10-11T08:56:37.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2022-05-08T19:44:48.000Z (over 3 years ago)
- Last Synced: 2024-10-30T09:35:40.910Z (12 months ago)
- Topics: bayesian-logistic-regression, deep-learning, fokker-planck-equation, nonlinear-filtering, optimal-transport, pytorch, wasserstein-gradient-flows
- Language: Jupyter Notebook
- Homepage: https://arxiv.org/abs/2106.00736
- Size: 28.5 MB
- Stars: 29
- Watchers: 4
- Forks: 5
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt