pytoda: PaccMann PyTorch Dataset Classes.
Project description
PyToDa
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
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
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ce28dddf6cfe0a2484fd57457fcdeddea9538a49b87c00ce111ed2696ca41e41
|
|
| MD5 |
41e6b66489578fe94010dfea48478e45
|
|
| BLAKE2b-256 |
31085150eb906734b643490f006492ab40222e2a04dbb1b3d29b395524fe258f
|
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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fbc024816e87c97e47abad380b49f92d1d2c1368db374c2b3215ac31410b5125
|
|
| MD5 |
fa314b2e30cbc7cae3868be83b4b5a5d
|
|
| BLAKE2b-256 |
1f4740c5a8d6ac565289521b83114186abf850b0f4d0bed8b21306b93beaa300
|