AIQC Framework: Accelerate and Reproduce Deep Learning with Ease at PyData Boston 🚀

Joint PyData Boston & Boston Data Science March Meetup

AIQC simplifies data preparation and parameter tuning for batches of deep learning models without an expensive cloud backend. It empowers researchers by reducing the programming and data science know-how required to integrate machine learning into their research. It makes machine learning less of a black box by reproducibly recording experiments in a file-based database that requires no configuration.

The talk will:
(1) Describe the challenges I ran into when implementing best practices that academics encouraged me to adopt after reviewing my paper. Show the gaps this revealed in the mainstream machine learning workflow.
(2) Demo the AIQC Python package on Kepler satellite data and brain tumor MRI scans.

Learn more:
- Read: https://aiqc.readthedocs.io/
- Watch: https://youtube.com/watch?v=cN7d8c-3Vxc&list=PLzDUt2WiohNj7MUrYL3YxoPbXjt5iDEPz

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