Sequence and chromatin dataloader for deep learning
Project description
seqchromloader
seqchromloader aims to provide versatile and ready-to-use writer/loader for applying deep learning to bioinformatics study.
Plan to support dataset formats including:
- webdataset (done)
- tfrecord (x)
Training framework support:
- pytorch dataloader (done)
- pytorch-lightning datamodule (done)
- NVIDIA-DALI (x)
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
seqchromloader-0.2.0.tar.gz
(11.1 kB
view hashes)
Built Distribution
Close
Hashes for seqchromloader-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8a93e67a5ce64a987c54bddddc5e2e3a8cf49883ba9920bedc03e6a72806a55e |
|
MD5 | e298cb8975799b2c53b4ebb9a084fac9 |
|
BLAKE2b-256 | 3fa634cb859fed5dd19ebe8e6c3e2b6d6bc5f008b274e9d82d0e7dc689a034e6 |