GitHub / SuryaVamsi-P/Diabetic-Retinopathy-Detection-with-ResNet50 committers
Built an end-to-end deep learning pipeline using ResNet-50 to classify retinal images into five stages of Diabetic Retinopathy. Applied transfer learning, image preprocessing, and AUC-based evaluation on the APTOS 2019 Kaggle dataset, achieving a 94% validation AUC—offering real-world potential in clinical diagnosis automation.
Last synced: 22 days ago
Total Committers: 1
Total Bot Commits: 0
Total Bot Committers: 0
Avg Commits per committer: 18.0
Development Distribution Score (DDS): 0.0
Committers in the past year: 1
Bot Commits in the past year: 0
Bot Committers in the past year: 0
Avg Commits per committer in the past year: 12.0
Development Distribution Score (DDS) in the past year: 0.0
More repo stats: https://repos.ecosyste.ms/hosts/GitHub/repositories/SuryaVamsi-P/Diabetic-Retinopathy-Detection-with-ResNet50
JSON API: https://commits.ecosyste.ms/api/v1/hosts/GitHub/repositories/SuryaVamsi-P%2FDiabetic-Retinopathy-Detection-with-ResNet50
| Name | Commits | |
|---|---|---|
| Surya vamsi Patiballa | 9****P | 18 |
Excludes empty and merge commits.
| Name | Commits | |
|---|---|---|
| Surya vamsi Patiballa | 9****P | 12 |
Committers in the past year are calculated by looking at the last 365 days of commits. Excludes empty and merge commits.