https://github.com/bioinformatist/cml
A Framework for Production-Ready Continuous Machine Learning
https://github.com/bioinformatist/cml
artificial-intelligence continuous-machine-learning deep-learning machine-learning mlops
Last synced: about 1 month ago
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A Framework for Production-Ready Continuous Machine Learning
- Host: GitHub
- URL: https://github.com/bioinformatist/cml
- Owner: bioinformatist
- License: bsd-3-clause
- Created: 2023-07-03T15:29:46.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-21T11:54:31.000Z (over 1 year ago)
- Last Synced: 2025-04-03T09:41:34.454Z (about 2 months ago)
- Topics: artificial-intelligence, continuous-machine-learning, deep-learning, machine-learning, mlops
- Language: Rust
- Homepage:
- Size: 316 KB
- Stars: 6
- Watchers: 2
- Forks: 2
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
CML
"Domain generalization is dead, Continuous Machine Learning lives forever." —— an iKun
CML is a framework for production-ready continuous machine learning in pure Rust.
## Motivation
Domain-specific problem are widely prevalent in real-world scenarios.
To address this problem:
Traditional method
CML method
- Increasing the amount of training data
- Optimizing model architecture
- Applying diverse data augmentation techniques
Combining Continuous Integrationwith Machine Learning
## How does it work?
See our [architecture document](ARCHITECTURE.md).
## Contributing
There is currently no code of conduct document available. However, we highly recommend that you read our [architecture document](ARCHITECTURE.md) first and foremost.