Multidigraph learning (MDGL) for training recurrent spiking neural networks
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Updated
Dec 18, 2021 - Python
Multidigraph learning (MDGL) for training recurrent spiking neural networks
A repository for co-ordinating work on ontologies for the Brain Data Standards Project
PHet: Heterogeneity-Preserving Discriminative Feature Selection for Subtype Discovery
Minimal Information About a New Cell Type
A web app that uses a custom-built Keras model to recognize and classify white blood cells from microscopic images. It can distinguish between different types of WBCs and identify artifacts and bursted cells. I created this app as a way to explore image recognition technologies and to learn how to develop Keras models from scratch.
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