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A collection of PyTorch implementations of neural network architectures and layers.

Project description

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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

Generative Adversarial Networks

Sketch RNN

Reinforcement Learning

Installation

pip install labml_nn

Links

💬 Slack workspace for discussions_

📗 Documentation

📑 Articles & Tutorials

👨‍🏫 Samples

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/},
}

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