Ecosyste.ms: Summary
An open API service providing a high level summary for open source projects.
awesome-llama: https://github.com/dvlab-research/LISA
large-language-model llm multi-modal segmentation
Score: 15.92475747342614
Last synced: about 5 hours ago
JSON representation
Repository metadata:
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
- Host: GitHub
- URL: https://github.com/dvlab-research/LISA
- Owner: dvlab-research
- License: apache-2.0
- Created: 2023-08-01T15:53:33.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-02T08:27:03.000Z (2 months ago)
- Last Synced: 2024-09-04T11:31:19.053Z (4 days ago)
- Topics: large-language-model, llm, multi-modal, segmentation
- Language: Python
- Homepage:
- Size: 27.8 MB
- Stars: 1,736
- Watchers: 11
- Forks: 121
- Open Issues: 62
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: DV Lab
- Login: dvlab-research
- Email:
- Kind: organization
- Description: Deep Vision Lab
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/64006090?v=4
- Repositories: 34
- Last Synced at: 2023-03-04T03:40:49.532Z
- Profile URL: https://github.com/dvlab-research
GitHub Events
Total
- Fork event: 126
- Issue comment event: 254
- Issues event: 204
- Pull request event: 11
- Pull request review event: 2
- Push event: 101
- Watch event: 1671
- Total: 2369
Last Year
- Fork event: 84
- Issue comment event: 173
- Issues event: 148
- Pull request event: 5
- Pull request review event: 2
- Push event: 20
- Watch event: 884
- Total: 1316
Committers metadata
Last synced: 4 days ago
Total Commits: 127
Total Committers: 12
Avg Commits per committer: 10.583
Development Distribution Score (DDS): 0.622
Commits in past year: 16
Committers in past year: 4
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.375
Name | Commits | |
---|---|---|
Xin Lai | 3****i | 48 |
x-lai | l****3@q****m | 47 |
tianzhuotao | 6****o | 13 |
yukang | y****n@c****k | 11 |
Chongruo Wu | c****o@g****m | 1 |
Zhuotao Tian | t****o@g****m | 1 |
enderfga | q****5@g****m | 1 |
xbkaishui | x****i@g****m | 1 |
zhuotao.tian | z****n@s****m | 1 |
Guian Fang | 7****a | 1 |
Ikko Eltociear Ashimine | e****r@g****m | 1 |
Wenrui Zhang | 7****r | 1 |
Issue and Pull Request metadata
Last synced: 4 days ago
Total issues: 155
Total pull requests: 9
Average time to close issues: 7 days
Average time to close pull requests: 3 days
Total issue authors: 71
Total pull request authors: 6
Average comments per issue: 2.19
Average comments per pull request: 0.0
Merged pull request: 7
Bot issues: 0
Bot pull requests: 0
Past year issues: 116
Past year pull requests: 4
Past year average time to close issues: 10 days
Past year average time to close pull requests: 9 days
Past year issue authors: 54
Past year pull request authors: 2
Past year average comments per issue: 1.92
Past year average comments per pull request: 0.0
Past year merged pull request: 2
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- yxchng (9)
- MaverickRen (8)
- LWShowTime (8)
- jiawen-zhu (7)
- yxu1168 (6)
- BinZhu-ece (6)
- SZhanZ (4)
- HawkDukez (4)
- zifuwan (4)
- dengandong (4)
- wangjunchi (3)
- AmeenAli (3)
- SVT-Yang (3)
- xbkaishui (3)
- Noietch (3)
Top Pull Request Authors
- truongvu2000nd (2)
- chongruo (2)
- Enderfga (2)
- eltociear (1)
- Robert-zwr (1)
- xbkaishui (1)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 381 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 19
- Total maintainers: 1
pypi.org: lisa-on-cuda
LISA (Reasoning Segmentation via Large Language Model) on cuda, now with huggingface ZeroGPU support!
- Homepage:
- Documentation: https://lisa-on-cuda.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 1.1.1 (published 5 months ago)
- Last Synced: 2024-09-04T11:32:52.084Z (4 days ago)
- Versions: 19
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 381 Last month
-
Rankings:
- Dependent packages count: 9.692%
- Average: 36.819%
- Dependent repos count: 63.946%
- Maintainers (1)