PyTorch tutorials

Collection of Jupyter notebooks demonstrating best-practices for using PyTorch on GPU accelerated hardware.

• Demonstrate end-to-end GPU accelerated ML workflow using PyTorch to train various DNN achitectures.
• Demonstrate distributed, GPU accelerated training capable of scaling to clusters of GPUs.

Using Conda

Create the environment...

$ conda env create --prefix ./env --file environment.yml

...then activate the environment...

$ conda activate ./env

...then launch the JupyterLab server.

$ jupyter lab