gmatcha / ML_GPU

ML practice code: simple ML examples and Deep Learning on GPU

ML_GPU

This project containts personal practice ML code, and Deep Learning on GPUs.

I wrote a practical guide on setting a personal GPU server for Machine Learning with Ubuntu 20.04 avaialbe on the Towards Data Science (TDS) website

Photo by Caspar Camille Rubin on Unsplash.

At the moment, I am learning, and following examples from Aurelien Geron's "Hands-On Machine Learning" book.

Project structure

1. helpers/ - Commonly used Python functions
2. JupyterNB/ - Jupyter notebooks for prototyping and learning
3. docs/ - Manuals/images/etc.
4. handson-ml2/ is forked from https://github.com/ageron/handson-ml2