optimate
A collection of libraries to optimise AI model performances
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
3 of 41 committers (7.3%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (9.7%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
A collection of libraries to optimise AI model performances
Basic Info
- Host: GitHub
- Owner: nebuly-ai
- License: apache-2.0
- Language: Python
- Default Branch: main
- Homepage: https://www.nebuly.com/
- Size: 4.32 MB
Statistics
- Stars: 8,371
- Watchers: 91
- Forks: 636
- Open Issues: 111
- Releases: 24
Topics
Metadata Files
README.md
OptiMate
[Legacy]
This repository is now in a legacy phase and is no longer actively maintained. Although the source code is still available in the Git history, there will be no additional updates or official support.
[About Nebuly]
Our team is fully committed on creating the best user-experience platform for LLMs so that companies can understand user behavior at scale when interacting with their LLM-based products. - To learn more on how to get started, visit our official documentation - If you need enterprise support, please contact us here
[About optimate]
We have open-sourced a couple of internal projects to the community, but we are not currently maintaining them. Optimate is a collection of libraries designed to help you optimize your AI models. It is an open-source project developed by Nebuly AI but is not actively maintained.
The tools available to assist you in your optimization are:
✅ Speedster: reduce inference costs by leveraging SOTA optimization techniques that best couple your AI models with the underlying hardware (GPUs and CPUs)
✅ Nos: reduce infrastructure costs by leveraging real-time dynamic partitioning and elastic quotas to maximize the utilization of your Kubernetes GPU cluster
✅ ChatLLaMA: reduce hardware and data costs by leveraging fine-tuning optimization techniques and RLHF alignment
Owner
- Name: Nebuly
- Login: nebuly-ai
- Kind: organization
- Email: info@nebuly.ai
- Location: San Francisco
- Website: https://www.nebuly.com
- Twitter: nebuly_ai
- Repositories: 15
- Profile: https://github.com/nebuly-ai
User analytics for LLMs
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Nebuly" given-names: "S.r.l" - family-names: "Fiori" given-names: "Diego" orcid: "https://orcid.org/0000-0003-1910-0565" - family-names: "Sofi" given-names: "Valerio" orcid: "https://orcid.org/0000-0001-5978-897X" title: "nebullvm" version: 0.4.3 date-released: 2022-10-10 url: "https://github.com/nebuly-ai/nebullvm"
GitHub Events
Total
- Issues event: 1
- Watch event: 60
- Fork event: 2
Last Year
- Issues event: 1
- Watch event: 60
- Fork event: 2
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| valerio | v****i@n****i | 177 |
| Francis | 4****s | 94 |
| Nebuly | 8****i | 77 |
| diegofiori | d****i@n****i | 58 |
| Pierpaolo | p****i@n****i | 52 |
| morgoth95 | d****i@e****h | 35 |
| Eike Kohlmeyer | e****r@v****e | 28 |
| Jonathan Chang | 3****u | 26 |
| Diego Fiori | 3****i | 22 |
| Aurora Maggio | 1****g | 13 |
| Diego Fiori | 3****5 | 13 |
| Michele Zanotti | m****9@g****m | 12 |
| Martina Fumanelli | 5****i | 10 |
| Emile Courthoud | 5****d | 7 |
| Leonardo Zecchin | l****n@n****i | 6 |
| AAnirudh07 | a****5@c****n | 4 |
| Vinish M | v****a@g****m | 4 |
| Ubuntu | p****o@p****t | 4 |
| Shrinath Suresh | s****h@i****m | 3 |
| Ikko Ashimine | e****r@g****m | 2 |
| Ubuntu | p****o@t****t | 2 |
| Sebastian Schramm | s****m@v****e | 2 |
| ByteDance | z****0@g****u | 2 |
| Leonardo Zecchin | l****n@L****l | 2 |
| Nebuly | n****y@N****l | 1 |
| zhangpengpeng | z****g@j****m | 1 |
| 류민호 Multimodal이해팀 | r****o@s****m | 1 |
| Edward Grefenstette | e****n | 1 |
| Arian Ghasemi | 7****1 | 1 |
| Additi Pandey | 4****n | 1 |
| and 11 more... | ||
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 124
- Total pull requests: 76
- Average time to close issues: 2 months
- Average time to close pull requests: 18 days
- Total issue authors: 71
- Total pull request authors: 24
- Average comments per issue: 2.23
- Average comments per pull request: 0.38
- Merged pull requests: 56
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- diegofiori (18)
- valeriosofi (8)
- reiase (3)
- shiyu22 (2)
- MikeAleksa (2)
- 01choco (1)
- SahilChachra (1)
- jues (1)
- IamMarcIvanov (1)
- VirajBagal (1)
- czab092 (1)
- ierezell (1)
- kartikeyporwal (1)
- scalastic (1)
- justlike-prog (1)
Pull Request Authors
- valeriosofi (15)
- diegofiori (12)
- francis-oss (5)
- emilecourthoud (4)
- kartikeyporwal (3)
- reiase (3)
- vinhtq115 (1)
- shiyu22 (1)
- czab092 (1)
- zeyus (1)
- nebuly-ai (1)
- kamalkraj (1)
- SolomidHero (1)