An assortment of scripts to help you get started in machine learning.
Some of scripts are based on the examples provided for Keras. They have been transferred to Jupyter notebooks and then edited and added to.
These notebooks are also intended to used at the meetings of the Physics and Astronomy Machine Learning Journal Club at the University of Glasgow
These notebooks are intended to be used with Google Colab since this eliminates the need to install python packages locally and allows for training with GPUs.
They can be run using the Google Colab icons, for example:
To then enable the GPU go to: Runtime -> Change runtime type -> Hardware accelerator -> GPU
These scripts can also be ran locally by cloning the repository and using conda and the provided file environment.yml to create an environment to run a jupyter-notebook from.
Conda can be installed from here. A conda environment can then be created:
conda env create -f environment.yml
The notebooks can then be accessed by activating the conda environment and typing in the directory containing the notebooks:
jupyter-notebook
See here for a guide on using conda environments.