https://github.com/intel/rho-diffusion

Parameterizing n-dimensional density fields using denoising diffusion probabilistic models
https://github.com/intel/rho-diffusion

Keywords

artificial-intelligence density-estimation diffusion-models generative-model hpc physics pytorch

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measurement archiving transforms optimize conversion observation animals generic compose products

Last synced: 11 months ago
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Parameterizing n-dimensional density fields using denoising diffusion probabilistic models


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Last synced: about 1 year ago

Total Commits: 15
Total Committers: 5
Avg Commits per committer: 3.0
Development Distribution Score (DDS): 0.733

Commits in past year: 15
Committers in past year: 5
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.733

Name Email Commits
Maxwell Cai m****i@i****m 4
maxwelltsai m****l@g****m 4
dependabot[bot] 4****] 4
Maxwell X. Cai m****i 2
Robert Dower r****r@i****m 1

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Last synced: over 1 year ago

Total issues: 0
Total pull requests: 14
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Average time to close pull requests: 8 days
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.86
Merged pull request: 0
Bot issues: 0
Bot pull requests: 14

Past year issues: 0
Past year pull requests: 14
Past year average time to close issues: N/A
Past year average time to close pull requests: 8 days
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.86
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 14

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  • dependencies (14)

Dependencies

pyproject.toml pypi
  • einops ==0.7.0
  • geomloss ==0.2.6
  • lightning ==1.8.6
  • matplotlib *
  • pydantic ==1.10.12
  • torchmetrics [image]
  • tqdm *
  • websockets *
setup.py pypi

Score: 3.8066624897703196