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
1 maintainer
Metadata
1 maintainer
Release files for serotiny 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| serotiny-1.0.1.tar.gz | 22.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| serotiny-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 57.4 kB
Release files / serotiny-1.0.1.tar.gz
| Download URL | serotiny-1.0.1.tar.gz |
|---|---|
| Size | 22.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ff0491f591dd2771a368f900c226a75fe8b58c669d62259f171b4e702ce7ec33
|
|
BLAKE2b-256 checksum How to use checksums |
4a876e980d33076a76964353dcbb6769d9ec5eba9b047151303101458904da69
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
Release files / serotiny-1.0.1-py3-none-any.whl
| Download URL | serotiny-1.0.1-py3-none-any.whl |
|---|---|
| Size | 34.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
366bbcf111c08635f8a06529038bcd0e2e6e96c0dfe3de537144847784035ffc
|
|
BLAKE2b-256 checksum How to use checksums |
f36582f05967d79ac166f5ea3b69970755609985ecb73462f10d9a9cc31c80a0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
