Skip to main content

pytoda: PaccMann PyTorch Dataset Classes.

Project description

PyToDa

PyPI version build License: MIT Code style: black Downloads Downloads GitHub Super-Linter

Overview

pytoda - PaccMann PyTorch Dataset Classes

A python package that eases handling biochemical data for deep learning applications with pytorch.

Installation

pytoda ships via PyPI:

pip install pytoda

Documentation

Please find the full documentation here.

Development

For development setup, we recommend to work in a dedicated conda environment:

conda env create -f conda.yml

Activate the environment:

conda activate pytoda

Install in editable mode:

pip install -r dev_requirements.txt
pip install --user --no-use-pep517 -e .

Examples

For some examples on how to use pytoda see here

References

If you use pytoda in your projects, please cite the following:

@article{born2021data,
  title={Data-driven molecular design for discovery and synthesis of novel ligands: a case study on SARS-CoV-2},
  author={Born, Jannis and Manica, Matteo and Cadow, Joris and Markert, Greta and Mill, Nil Adell and Filipavicius, Modestas and Janakarajan, Nikita and Cardinale, Antonio and Laino, Teodoro and Martinez, Maria Rodriguez},
  journal={Machine Learning: Science and Technology},
  volume={2},
  number={2},
  pages={025024},
  year={2021},
  publisher={IOP Publishing}
}

Project details


Download files

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

Source Distribution

pytoda-1.1.7.tar.gz (200.2 kB view details)

Uploaded Source

Built Distribution

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

pytoda-1.1.7-py3-none-any.whl (237.1 kB view details)

Uploaded Python 3

File details

Details for the file pytoda-1.1.7.tar.gz.

File metadata

  • Download URL: pytoda-1.1.7.tar.gz
  • Upload date:
  • Size: 200.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for pytoda-1.1.7.tar.gz
Algorithm Hash digest
SHA256 ce28dddf6cfe0a2484fd57457fcdeddea9538a49b87c00ce111ed2696ca41e41
MD5 41e6b66489578fe94010dfea48478e45
BLAKE2b-256 31085150eb906734b643490f006492ab40222e2a04dbb1b3d29b395524fe258f

See more details on using hashes here.

File details

Details for the file pytoda-1.1.7-py3-none-any.whl.

File metadata

  • Download URL: pytoda-1.1.7-py3-none-any.whl
  • Upload date:
  • Size: 237.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for pytoda-1.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 fbc024816e87c97e47abad380b49f92d1d2c1368db374c2b3215ac31410b5125
MD5 fa314b2e30cbc7cae3868be83b4b5a5d
BLAKE2b-256 1f4740c5a8d6ac565289521b83114186abf850b0f4d0bed8b21306b93beaa300

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