My Exes

It's not a package about finding your exes!

Developing a deep learning model usually includes running different experiments and you want to keep track of them. So, you need to log all the parameters and losses, etc and save them somewhere.
This is where MyExes comes in handy! It's a simple package that provides MyEx class which can be used for logging experiments. For each experiments you need to make a yaml file containing the experiment name and its parameters. Then you can make an instance of MyEx with this yaml file as input. You can then use it to log any data you want.

[!NOTE] My Exes doesn't provide any automated logging mechanism but provides a simple interface for logging data manually.

Installation

You can install my exes using pip:

pip install my-exes

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my_exes-0.1.6.tar.gz (7.0 kB view details)

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Publisher: publish.yml on mese79/my-exes

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Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: my_exes-0.1.6.tar.gz
- Subject digest: e8efc4747d435d92e41605dc57d394a5485c4cfbba87cd7fb6216141698dc211
- Sigstore transparency entry: 2673519746
- Sigstore integration time: Sep 1, 2026
Source repository:
- Permalink: mese79/my-exes@04ff2bd2cc5a78bef5ed4eceff2bc262f383e6dd
- Branch / Tag: refs/tags/v0.1.6
- Owner: https://github.com/mese79
- Access: public
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- Publication workflow: publish.yml@04ff2bd2cc5a78bef5ed4eceff2bc262f383e6dd
- Trigger Event: push