JOSS: https://github.com/silvandeleemput/memcnn
deep-learning machine-learning python3 pytorch
Score: 13.00396039962353
Last synced: about 23 hours ago
JSON representation
Repository metadata:
PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
- Host: GitHub
- URL: https://github.com/silvandeleemput/memcnn
- Owner: silvandeleemput
- License: mit
- Created: 2018-02-26T14:11:31.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2026-03-12T14:22:11.000Z (5 months ago)
- Last Synced: 2026-07-26T17:04:11.896Z (19 days ago)
- Topics: deep-learning, machine-learning, python3, pytorch
- Language: Python
- Homepage:
- Size: 432 KB
- Stars: 257
- Watchers: 9
- Forks: 23
- Open Issues: 14
-
Metadata Files:
- Readme: README.rst
- Changelog: HISTORY.rst
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.txt
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Authors: AUTHORS.rst
Owner metadata:
- Name: Sil van de Leemput
- Login: silvandeleemput
- Email:
- Kind: user
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/3715102?u=66349a1c71d63ad2f6429cd44bac8a5caa7fa071&v=4
- Repositories: 4
- Last Synced at: 2024-01-16T14:44:41.273Z
- Profile URL: https://github.com/silvandeleemput
GitHub Events
Total
- Push event: 2
- Watch event: 5
- Total: 7
Last Year
- Push event: 2
- Total: 2
Committers metadata
Last synced: 2 days ago
Total Commits: 266
Total Committers: 11
Avg Commits per committer: 24.182
Development Distribution Score (DDS): 0.135
Commits in past year: 5
Committers in past year: 2
Avg Commits per committer in past year: 2.5
Development Distribution Score (DDS) in past year: 0.2
| Name | Commits | |
|---|---|---|
| silvandeleemput | s****t@g****m | 230 |
| Sil van de Leemput | s****t@r****l | 10 |
| Tycho van der Ouderaa | t****o@g****m | 7 |
| Luke | l****e@c****m | 6 |
| Lucas Nestler | l****r@w****e | 4 |
| Kyle Niemeyer | k****r@g****m | 2 |
| wll | i****u@g****m | 2 |
| Christian Etmann | c****7@o****k | 2 |
| robintibor | r****r@g****m | 1 |
| anguelos | a****u@g****m | 1 |
| Christian Etmann | c****7@h****k | 1 |
Issue and Pull Request metadata
Last synced: 3 months ago
Total issues: 60
Total pull requests: 19
Average time to close issues: 2 months
Average time to close pull requests: about 1 month
Total issue authors: 29
Total pull request authors: 8
Average comments per issue: 2.83
Average comments per pull request: 1.74
Merged pull request: 17
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: 2 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: 1.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- silvandeleemput (18)
- sepandhaghighi (5)
- ibro45 (3)
- cetmann (3)
- ClashLuke (3)
- MrLinNing (2)
- tartavull (2)
- lighShanghaitech (2)
- lucidrains (2)
- juntang-zhuang (1)
- djiajunustc (1)
- mjack3 (1)
- michaelsdr (1)
- minh-nguyenhoang (1)
- coolbay (1)
Top Pull Request Authors
- silvandeleemput (9)
- ClashLuke (3)
- kyleniemeyer (2)
- wllqwzx (1)
- cetmann (1)
- tychovdo (1)
- robintibor (1)
- anguelos (1)
Top Issue Labels
- enhancement (20)
- question (12)
- bug (11)
- help wanted (2)
Top Pull Request Labels
- enhancement (9)
- bug (3)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 144 last-month
- Total dependent packages: 0
- Total dependent repositories: 4
- Total versions: 20
- Total maintainers: 1
pypi.org: memcnn
A PyTorch framework for developing memory efficient deep invertible networks.
- Homepage: http://pypi.python.org/pypi/memcnn/
- Documentation: https://memcnn.readthedocs.io/
- Licenses: LICENSE.txt
- Latest release: 1.5.2 (published over 3 years ago)
- Last Synced: 2026-08-13T03:13:34.117Z (2 days ago)
- Versions: 20
- Dependent Packages: 0
- Dependent Repositories: 4
- Downloads: 144 Last month
-
Rankings:
- Downloads: 6.334%
- Dependent repos count: 7.519%
- Average: 7.964%
- Dependent packages count: 10.038%
- Maintainers (1)
Dependencies
- SimpleITK *
- numpy *
- pathlib2 *
- torch >=1.0.0
- torchvision *
- tqdm *