JordiCorbilla / ocular-disease-intelligent-recognition-deep-learning

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

Date Created 2019-10-10 (5 years ago)
Commits 192 (last one 2 months ago)
Stargazers 63 (0 this week)
Watchers 3 (0 this week)
Forks 28
License other
Ranking

RepositoryStats indexes 639,263 repositories, of these JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning is ranked #423,592 (34th percentile) for total stargazers, and #420,580 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,061/19,340.

JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning is also tagged with popular topics, for these it's ranked: python (#17,334/23595),  deep-learning (#6,553/8864),  machine-learning (#6,243/8464),  python3 (#3,008/4340),  computer-vision (#2,387/3315),  tensorflow (#1,830/2308),  deep-neural-networks (#510/662),  convolutional-neural-networks (#423/574),  image-classification (#297/421)

Other Information

JordiCorbilla/ocular-disease-intelligent-recognition-deep-learning has Github issues enabled, there are 3 open issues and 1 closed issue.

There have been 6 releases, the latest one was published on 2020-06-26 (4 years ago) with the name Inception ResNetV2 Model for ODIR challenge.

Homepage URL: https://jordicorbilla.github.io/ocular-disease-intelligent-recognition-deep-learning/

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Watcher History

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Recent Commit History

15 commits on the default branch (master) since jan '22

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Issue History

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updated: 2025-04-06 @ 01:41am, id: 214201647 / R_kgDODMR1Lw