A series of scripts to automate sequence workflows
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Updated
May 24, 2025 - Jupyter Notebook
A series of scripts to automate sequence workflows
"A collection of deep learning projects from my PGD in Data Science at NED University, including CNN-based image classification and sequence processing with ConvNets, applied to datasets like Cat-Dog, Netflix, and Jena Climate."
Implements RNN-based classifiers with gradient tracking and flow control for sequence processing.
This repository provides a cloud-based learning module for microbial analysis of 16S rRNA sequencing data. It covers principles, data preprocessing, taxonomic classification, and diversity analysis using R and AWS SageMaker.
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