immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…
This code performs the particle detection, classification (Machine Learning analysis) and structural analysis of virus imaging dataset as described in our manuscript.
An archive repository that holds all projects formed in the masters-level Software and Systems Security course (CSC-5585) at TTU.
Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its anal…
Analytical papers written for my machine learning course.
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