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ML/DL with PyTorch, TensorFlow and Rapids on a Dask cluster

Packages, tools, templates and documentation for distributed maschine- and deep learning.

This project aims to create a package and documentation to make distributed training on a Dask cluster easy.

Dask will run on every node and execute code which is needed for distributed training. Dask ist open source and easy to use. It provides a wide range of functionality. Dask will run and monitor the Cluster here.


I will sort out some files and focus on PyTorch DL later. The Project and the information about it are still in work.

Project status: paused

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