https://github.com/machine-learning-tokyo/practical-ml-implementations
ML implementations for practical use
https://github.com/machine-learning-tokyo/practical-ml-implementations
Last synced: 10 months ago
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ML implementations for practical use
- Host: GitHub
- URL: https://github.com/machine-learning-tokyo/practical-ml-implementations
- Owner: Machine-Learning-Tokyo
- License: mit
- Created: 2020-03-11T08:29:53.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-04-30T07:11:35.000Z (almost 6 years ago)
- Last Synced: 2025-03-30T10:11:11.671Z (11 months ago)
- Language: Python
- Homepage:
- Size: 490 KB
- Stars: 15
- Watchers: 5
- Forks: 3
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Practical Machine Learning Implementations
This repository gathers various practical machine learning implementations, created by Alisher Abdulkhaev.
## [Object Detection](https://github.com/Machine-Learning-Tokyo/practical-ml-implementations/blob/master/object_detection/README.md)
- Brief overview
- Evaluation metrics
- Benchmark datasets/competitions
- Practical tips
- Sample object detection implementations