A framework of tools to structure, configure and drive deep learning projects
Project description
serotiny
serotiny is a collection of deep learning related tools and primitives, loosely meant
to be used in projects started from lightning-hydra-template
For more information, check our documentation.
Authors
- Guilherme Pires @colobas
- Ryan Spangler @prismofeverything
- Ritvik Vasan @ritvikvasan
- Caleb Chan @calebium
- Theo Knijnenburg @tknijnen
- Nick Gomez @gomeznick86
Citing
If you find serotiny useful, please cite this repository as:
Serotiny Authors (2022). Serotiny: a framework of tools to structure, configure and drive deep learning projects [Computer software]. GitHub. https://github.com/AllenCellModeling/serotiny
Free software: BSD-3-Clause
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file serotiny-1.0.2.dev202301250058.tar.gz.
File metadata
- Download URL: serotiny-1.0.2.dev202301250058.tar.gz
- Upload date:
- Size: 22.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8c5d27430393d485c3e99f12ad90345945b053846dbcfbfdc4a9458ad1764ec7 |
|
| MD5 | 8b07fbf96bcc382651fb1ba1fdfdd298 |
|
| BLAKE2b-256 | 7a161c5f7e3bfd2d55d251495dbe91f72813a00ccb49c2eaf7815b2f221d8b80 |
File details
Details for the file serotiny-1.0.2.dev202301250058-py3-none-any.whl.
File metadata
- Download URL: serotiny-1.0.2.dev202301250058-py3-none-any.whl
- Upload date:
- Size: 35.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9f32d7812c1199a408d12d59e89c3f955470daf7067fb908f80bf5c9035d7a3b |
|
| MD5 | c1c298aba46e3ac9bf90be39009bcf59 |
|
| BLAKE2b-256 | fe9a6af51c60399ea6a6736a2b69e1e97f4dd31d02279d77921a256d3ff73a2d |
