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…
An archive repository that holds all projects formed in the masters-level Software and Systems Security course (CSC-5585) at TTU.
This code performs the particle detection, classification (Machine Learning analysis) and structural analysis of virus imaging dataset as described in our manuscript.
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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