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: 11 days 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 3 years ago)
• Default Branch: master
• Last Pushed: 2022-05-08T19:44:48.000Z (over 2 years ago)
• Last Synced: 2024-08-01T16:46:11.662Z (3 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: 28
• Watchers: 4
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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