https://github.com/jeremyfix/deepcs
Python utilitary tools used for the deep learning lab works taught at CentraleSupélec (Metz). See the accompanying site for the lectures and lab works at https://github.com/jeremyfix/deeplearning-lectures
https://github.com/jeremyfix/deepcs
deeplearning
Last synced: about 2 months ago
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Python utilitary tools used for the deep learning lab works taught at CentraleSupélec (Metz). See the accompanying site for the lectures and lab works at https://github.com/jeremyfix/deeplearning-lectures
- Host: GitHub
- URL: https://github.com/jeremyfix/deepcs
- Owner: jeremyfix
- License: other
- Created: 2020-10-23T08:09:48.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2024-06-06T09:13:36.000Z (12 months ago)
- Last Synced: 2025-02-12T22:19:09.068Z (4 months ago)
- Topics: deeplearning
- Language: Python
- Homepage:
- Size: 94.7 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# Deepcs package
The package can be installed with pip, see the [pypi page](https://pypi.org/project/deepcs/)
This package is used within the deeplearning labs at CentraleSupélec you can access on [this page](https://github.com/jeremyfix/deeplearning-lectures).
It provides some handy high level functions :
- for the training and validation loops
- for displaying the summary of a model and progress during training
- for easily getting unique log directories for logging the training with your tensorboard writer
Note, though, that if you ended up on this page, you may still be interested in more professional libraries such as [torch lightning](https://www.pytorchlightning.ai/) which provides you with the high level pytorch scripting we need for easily experimenting.