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
Project details
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
Close
Hashes for serotiny-1.0.2.dev202302022336.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | b3f0e9ad3dc796c339793fa7f7a70d0ff4d6db8f2a00a80dbf6074b1b199a315 |
|
MD5 | 3186207e8556f3ca73e764c980e0ca17 |
|
BLAKE2b-256 | 2a72ee4aa64d33a99ae43e474561bc86866bbc1666b9461e11c0156d5e56f86b |
Close
Hashes for serotiny-1.0.2.dev202302022336-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | cc6bbdf6027a04ec9058e7c720ca88b5cb1e977c4675316024d0701539540209 |
|
MD5 | d9cfd4b3745c177e259285296fe82400 |
|
BLAKE2b-256 | f12021524ce32d222cd9be270bb4979f8b162017ae06f4aa2c6fcae07aaeab13 |