Skip to main content

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)

Installation

conda (suggested):

mamba install -c bioconda -c conda-forge seqchromloader

or

conda install -c bioconda -c conda-forge seqchromloader

pip

pip install seqchromloader

Usage

For detailed usage, please refer to documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

seqchromloader-0.9.2-py3-none-any.whl (13.6 kB view details)

Uploaded Python 3

File details

Details for the file seqchromloader-0.9.2-py3-none-any.whl.

File metadata

  • Download URL: seqchromloader-0.9.2-py3-none-any.whl
  • Upload date:
  • Size: 13.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.0

File hashes

Hashes for seqchromloader-0.9.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6774a3a3866bb308184e9e7a7bf85a0defb5f5908859ac4ee502997f994e0726
MD5 d5de163a6f24bae86bb2fe451e822b34
BLAKE2b-256 fd9783279859065f18b554a4a9878bdaf3f41b1646d5ef504b52d6ed7d8614d0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page