JOSS: https://github.com/elizabethnewman/hessQuik
derivatives gpu-acceleration neural-network
Score: 8.99961934066053
Last synced: about 4 hours ago
JSON representation
Repository metadata:
Computing gradients and Hessians of feed-forward networks with GPU acceleration
- Host: GitHub
- URL: https://github.com/elizabethnewman/hessQuik
- Owner: elizabethnewman
- License: mit
- Created: 2021-12-06T20:10:19.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-02-14T15:17:57.000Z (over 2 years ago)
- Last Synced: 2026-06-03T13:03:43.605Z (20 days ago)
- Topics: derivatives, gpu-acceleration, neural-network
- Language: Python
- Homepage:
- Size: 3.94 MB
- Stars: 20
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name:
- Login: elizabethnewman
- Email:
- Kind: user
- Description:
- Website:
- Location:
- Twitter:
- Company: Emory University
- Icon url: https://avatars.githubusercontent.com/u/39045034?v=4
- Repositories: 3
- Last Synced at: 2023-03-04T16:20:21.614Z
- Profile URL: https://github.com/elizabethnewman
GitHub Events
Total
- Watch event: 2
- Total: 2
Last Year
- Watch event: 1
- Total: 1
Committers metadata
Last synced: 3 days ago
Total Commits: 385
Total Committers: 3
Avg Commits per committer: 128.333
Development Distribution Score (DDS): 0.016
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| elizabethnewman | e****n@e****u | 379 |
| Mehmet Hakan Satman | m****n@g****m | 3 |
| Lars Ruthotto | l****o | 3 |
Issue and Pull Request metadata
Last synced: 6 months ago
Total issues: 4
Total pull requests: 11
Average time to close issues: 6 days
Average time to close pull requests: about 2 hours
Total issue authors: 3
Total pull request authors: 3
Average comments per issue: 2.75
Average comments per pull request: 0.09
Merged pull request: 9
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- GregaVrbancic (2)
- yhtang (1)
- elizabethnewman (1)
Top Pull Request Authors
- elizabethnewman (8)
- jbytecode (2)
- lruthotto (1)
Top Issue Labels
- good first issue (1)
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 133 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 6
- Total maintainers: 1
pypi.org: hessquik
AD-free gradient and Hessian computations
- Homepage: https://github.com/elizabethnewman/hessQuik
- Documentation: https://hessquik.readthedocs.io/
- Licenses: MIT
- Latest release: 0.0.6 (published over 2 years ago)
- Last Synced: 2026-06-19T21:01:19.235Z (3 days ago)
- Versions: 6
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 133 Last month
-
Rankings:
- Dependent packages count: 10.052%
- Stargazers count: 15.188%
- Dependent repos count: 21.642%
- Forks count: 22.608%
- Average: 24.56%
- Downloads: 53.311%
- Maintainers (1)
Dependencies
- torch *
- actions/checkout v2 composite
- actions/setup-python v2 composite