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LabML Neural Networks
This is a collection of simple PyTorch implementation of various neural network architectures and layers. We will keep adding to this.
If you have any suggestions for other new implementations, please create a Github Issue.
✨ Transformers
Transformers module contains implementations for multi-headed attention and relative multi-headed attention.
✨ Recurrent Highway Networks
✨ LSTM
✨ Capsule Networks
Installation
pip install labml_nn
Links
💬 Slack workspace for discussions_
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/},
}