Getting started with image processing using MATLAB™
Learn to use the git version-control system to manage your software projects. Back up your projects on Github.
This hands-on workshop provides an overview of neural networks with a focus on GPUs. Example codes will be provided in both Tensorflow and Pytorch and how to use them on Rivanna.
An introduction to scientific image processing with the Python OpenCV package. Topics include splitting and merging of color channels, morphological filters, image thresholding and segmentation.
Accelerate your data science pipeline with RAPIDS on NVIDIA GPUs
An introduction to using the Biopython package to develop Python scripts for bioinformatics analysis.
This hands-on workshop provides links to the MathWorks online courses in Data Science. It focuses on Machine Learning, Deep Learning, and Data Analytics
An introduction to machine learning with Python
This hands-on tutorial will show you how to classify images with a pretrained neural network, modify a pretrained network to classify images into new specified classes, and build a neural network from scratch.
This tutorial is an introduction to basic data analysis and visualization in MATLAB™.