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Identifying diseases in chest X-rays using convolutional neural networks

License: MIT License

Jupyter Notebook 65.82% Python 34.18%
convolutional-neural-networks chest-xrays h2o nih deep-learning keras mxnet chestxray14

nih-chest-xray's Introduction

Technology Stack

This my current technology stack, which is what I use in my professional and personal development.

Package Use Cases Notes
AWS Cloud computing services
  • EC2
  • S3
  • ECS
Dask Distributed computing
  • Lighter than Spark
  • Follows Pandas API
  • GPU compatible
FastAPI REST API's
  • Asynchronous
  • Faster than Flask
  • Easier to test
Poetry Project package management and publishing
  • Resolves package dependencies
RAPIDS GPU data science libraries
  • cuDF
  • cuML
  • Dask cuDF

Contact Information

Website Username
LinkedIn gregwchase
Medium gregorywchase
Twitter @gregwchase

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