A collection of PyTorch implementations of neural network architectures and layers.
Project description
LabML Neural Networks
This is a collection of simple PyTorch implementation of various neural network architectures and layers. We will keep adding to this.
Transformers
Transformers module contains implementations for multi-headed attention and relative multi-headed attention.
✅ TODO
Recurrent Highway Networks
LSTMs
Please create a Github issue if there’s something you’ld like to see implemented here.
Installation
pip install labml_nn
Links
Citing LabML
If you use LabML for academic research, please cite the library using the following BibTeX entry.
@misc{labml,
author = {Varuna Jayasiri, Nipun Wijerathne},
title = {LabML: A library to organize machine learning experiments},
year = {2020},
url = {https://lab-ml.com/},
}
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
labml_nn-0.4.1.tar.gz
(10.7 kB
view hashes)
Built Distribution
labml_nn-0.4.1-py3-none-any.whl
(13.5 kB
view hashes)