EyeNet2

(★ 17)

ICML Workshop 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

File Explorer

  • configuration.txt
  • LICENSE
  • prepare_datasets_DRIVE.py
  • README.md
  • run_testing.py
  • run_training.py

# Use via CDN

jsDelivr

jsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.

Command Glossary

Commands referenced in this DOCs, explained below.

🔍

python

View Details ▼

Python language interpreter.

python

Start a REPL (interactive shell):

python {{path/to/file.py}}

Execute a specific Python file:

python -i {{path/to/file.py}}

Execute a specific Python file and start a REPL:

// repository documentation