ocular-disease-intelligent-recognition-deep-learning JordiCorbilla · COMPLETED
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This repository implements advanced machine learning techniques and modern neural network architectures to push the boundaries of intelligent recognition
github.com/JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning · ★ 74 · Forks 27 · Size 16.4 MB
SUMMARY
Technologies 8
Scored 8
Observed 8
Practices 6
Evidence 8
Skips 0
COVERAGE
Analyzed 138 files · 192 commits · 0 API calls
TECHNOLOGIES & DEPTH
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
21 files · PRODUCTION
YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
46 files · PRODUCTION
NumPy LIBRARY Depth 70
19 files · PRODUCTION
Prettier QUALITY Depth 54
1 files · CONFIGURATION
TypeScript LANGUAGE Depth 54
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pandas LIBRARY Depth 58
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PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2019-10-10
Last commit 2025-02-09
Active months 14
Commits 192