Skip to content

AI@UCF's Data Science (DS) meetings, categorized by semesters

License

Notifications You must be signed in to change notification settings

stephentesta/data-science-1

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 

Repository files navigation

AI@UCF/course

These meetings are offered every semester, and are tailored for the newcomers to the club. These are what, initially, @flxsosa, @ionlights, and @thedibaccle, offered at club meetings.

The goal of this course is to compensate for the lack of UCF undergraduate coursework in intelligence and related fields (e.g. machine learning, computational neuroscience, etc.). As a semester offering, the overarching idea is that the course material won't change much, but each semester will entail a slight twist on the presentation, as expected with rotating instructors.

Getting it locally and making use

Within each <sem><year> (e.g. sp19) folder, there's an env.yml file, which can be used with Anaconda. These have only been tested on Linux systems, so version numbers may not be up-to-date on platforms which don't use the Linux Kernel. However, the usage of such env.yml files will be detailed below.

Installing the environment

$ conda env create -f <sem><year>/env.yml

Using the environment

$ conda activate ucfai-<sem><year>

NOTE: We assume the use of GPU versions of Deep Learning libraries (e.g. PyTorch, TensorFlow, etc.). If you do not have a GPU, then you should install the CPU versions of said libraries.

About

AI@UCF's Data Science (DS) meetings, categorized by semesters

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%