differentiableexpectations.jl
A Julia package for differentiating through expectations with Monte-Carlo estimates
https://github.com/juliadecisionfocusedlearning/differentiableexpectations.jl
Science Score: 31.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Keywords
Repository
A Julia package for differentiating through expectations with Monte-Carlo estimates
Basic Info
- Host: GitHub
- Owner: JuliaDecisionFocusedLearning
- License: mit
- Language: Julia
- Default Branch: main
- Homepage: https://juliadecisionfocusedlearning.github.io/DifferentiableExpectations.jl/
- Size: 365 KB
Statistics
- Stars: 15
- Watchers: 1
- Forks: 0
- Open Issues: 5
- Releases: 2
Topics
Metadata Files
README.md
DifferentiableExpectations.jl
A Julia package for differentiating through expectations with Monte-Carlo estimates.
It allows the computation of approximate derivatives for functions of the form
math
F(\theta) = \mathbb{E}_{p(\theta)}[f(X)]
The following estimators are implemented:
Warning: this package is experimental, use at your own risk and expect frequent breaking releases.
Owner
- Name: JuliaDecisionFocusedLearning
- Login: JuliaDecisionFocusedLearning
- Kind: organization
- Repositories: 1
- Profile: https://github.com/JuliaDecisionFocusedLearning
Citation (CITATION.bib)
@misc{dalle2022learning,
title={Learning with Combinatorial Optimization Layers: a Probabilistic Approach},
author={Guillaume Dalle and Léo Baty and Louis Bouvier and Axel Parmentier},
year={2022},
eprint={2207.13513},
archivePrefix={arXiv},
primaryClass={stat.ML}
}
GitHub Events
Total
- Watch event: 1
- Pull request event: 1
- Create event: 1
Last Year
- Watch event: 1
- Pull request event: 1
- Create event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 9
- Total pull requests: 16
- Average time to close issues: about 1 month
- Average time to close pull requests: 11 days
- Total issue authors: 3
- Total pull request authors: 4
- Average comments per issue: 0.78
- Average comments per pull request: 1.5
- Merged pull requests: 11
- Bot issues: 0
- Bot pull requests: 6
Past Year
- Issues: 1
- Pull requests: 10
- Average time to close issues: N/A
- Average time to close pull requests: about 21 hours
- Issue authors: 1
- Pull request authors: 4
- Average comments per issue: 0.0
- Average comments per pull request: 1.6
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 3
Top Authors
Issue Authors
- gdalle (7)
- BatyLeo (1)
- JuliaTagBot (1)
Pull Request Authors
- BatyLeo (10)
- gdalle (9)
- github-actions[bot] (6)
- dependabot[bot] (6)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- julia 9 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
juliahub.com: DifferentiableExpectations
A Julia package for differentiating through expectations with Monte-Carlo estimates
- Homepage: https://juliadecisionfocusedlearning.github.io/DifferentiableExpectations.jl/
- Documentation: https://docs.juliahub.com/General/DifferentiableExpectations/stable/
- License: MIT
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Latest release: 0.2.0
published over 1 year ago
Rankings
Dependencies
- julia-actions/setup-julia v1 composite
- actions/checkout v4 composite
- julia-actions/cache v1 composite
- julia-actions/setup-julia v2 composite
- actions/checkout v4 composite
- julia-actions/cache v1 composite
- julia-actions/julia-buildpkg v1 composite
- julia-actions/julia-runtest v1 composite
- julia-actions/setup-julia v1 composite
- JuliaRegistries/TagBot v1 composite