Skip to main content

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

Project description

Join Slack Twitter

LabML Neural Networks

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,

The website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.

Screenshot

We are actively maintaining this repo and adding new implementations almost weekly. Twitter for updates.

Modules

Transformers

Recurrent Highway Networks

LSTM

HyperNetworks - HyperLSTM

Capsule Networks

Generative Adversarial Networks

Sketch RNN

Reinforcement Learning

Optimizers

Normalization Layers

Installation

pip install labml-nn

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/},
}

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-0.4.88.tar.gz (103.1 kB view hashes)

Uploaded Source

Built Distribution

labml_nn-0.4.88-py3-none-any.whl (146.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page