labml-nn 0.4.8

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

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

• GAN with a multi-layer perceptron
• GAN with deep convolutional network
• Cycle GAN

✨ 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/},
}