My EXperimentS

Simple and convenient package for logging your deep-learning experiments.

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.

Installation

You can install my exes using pip:

pip install my-exes

How to use

Please check the example config YAML file and the example script.

Metadata

Release files for my-exes 0.1.10

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Source distribution (sdist)

Source distribution for my-exes 0.1.10
File	Size	Uploaded
my_exes-0.1.10.tar.gz	9.2 kB	Sep 30, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for my-exes 0.1.10
File	Interpreter	ABI	Platform	Reset
my_exes-0.1.10-py3-none-any.whl 9.7 kB Sep 30, 2026	Python 3	none	any	Details

Total release size: 18.9 kB

Release files / my_exes-0.1.10.tar.gz

Download URL	my_exes-0.1.10.tar.gz
Size	9.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`97a756486f17620c3d9ebbd2cb09abbb5834a5ee81ca927d9ac369003b3a86d0`
BLAKE2b-256 checksum How to use checksums	`49ed2462c9c9c2978557d4986e670549834693fd4ad2ad5f5fdec42443a87a0b`
Upload date	Sep 30, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Publishing platform: GitHub Actions
Publishing repository: github.com/mese79/my-exes
Publishing commit: github.com/mese79/my-exes/tree/4ef64d381bdb5d27eb7c9c6de09fc5c14fa2ca08

Workflow

Publishing configuration: github.com/mese79/my-exes/blob/4ef64d381bdb5d27eb7c9c6de09fc5c14fa2ca08/.github/workflows/publish.yml
Publishing logs: github.com/mese79/my-exes/actions/runs/36722564972/attempts/1

Artifact

Subject: my_exes-0.1.10.tar.gz
SHA-256 checksum: 97a756486f17620c3d9ebbd2cb09abbb5834a5ee81ca927d9ac369003b3a86d0 Verifying attestations

Release files / my_exes-0.1.10-py3-none-any.whl

Download URL	my_exes-0.1.10-py3-none-any.whl
Size	9.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5c9f26bf96d293ef0441d2f0ee3525f0e4d71f6db548bf810af37aa3b7959095`
BLAKE2b-256 checksum How to use checksums	`c168abe0500297e7e973a571c4302c7ed116a956b72d44499041339cfcbc6ac4`
Upload date	Sep 30, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/mese79/my-exes
Publishing commit: github.com/mese79/my-exes/tree/4ef64d381bdb5d27eb7c9c6de09fc5c14fa2ca08

Workflow

Publishing configuration: github.com/mese79/my-exes/blob/4ef64d381bdb5d27eb7c9c6de09fc5c14fa2ca08/.github/workflows/publish.yml
Publishing logs: github.com/mese79/my-exes/actions/runs/36722564972/attempts/1

Artifact

Subject: my_exes-0.1.10-py3-none-any.whl
SHA-256 checksum: 5c9f26bf96d293ef0441d2f0ee3525f0e4d71f6db548bf810af37aa3b7959095 Verifying attestations