Friday, April 2, 2021

How to Make your Sacred Projects Easy to Share and Collaborate on

Gone are the days of drawn-out spreadsheets detailing chaotic ML experiments. With platforms such as Sacred, you can log experiments with peace of mind. Sacred does the good work for you: it keeps track of your parameters, model architectures, dataset changes, training jobs, artifacts, metrics, meta, debugging, and more.  In essence, Sacred is a Python […]

The post How to Make your Sacred Projects Easy to Share and Collaborate on appeared first on neptune.ai.



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TestDriven.io: Working with Static and Media Files in Django

This article looks at how to work with static and media files in a Django project, locally and in production. from Planet Python via read...