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.dev202302032311.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | cd559696910d32970636fddccf1aeb7bd8b20de9967cd1a834c78fbb08bbac50 |
|
MD5 | 1855e1d2409dbbaa892e7f8762dd37cb |
|
BLAKE2b-256 | 448d34f6493c650faa71f7c926795355df34522400a2f015ce5fd1635813aec4 |
Close
Hashes for serotiny-1.0.2.dev202302032311-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 81ba9c72c8db1bf74ba28d6d78767d732b54d935b8e4b8480a0a6e17813dce7c |
|
MD5 | 5d82bcd103e59a2e00aacf6fe8db0c26 |
|
BLAKE2b-256 | 88bc63bec376530b88a4de285876968ce92280ee0e7f9d592c089574ae236dce |