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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.

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

Paper Implementations

✨ LSTM

✨ ResNet

✨ ConvMixer

✨ Sketch RNN

✨ Graph Neural Networks

Solving games with incomplete information such as poker with CFR.

✨ Optimizers

Highlighted Research Paper PDFs

Installation

pip install labml-nn

Citing

If you use this for academic research, please cite it using the following BibTeX entry.

@misc{labml,
 author = {Varuna Jayasiri, Nipun Wijerathne},
 title = {labml.ai Annotated Paper Implementations},
 year = {2020},
 url = {https://nn.labml.ai/},
}

Other Projects

This shows the most popular research papers on social media. It also aggregates links to useful resources like paper explanations videos and discussions.

This is a library that let's you monitor deep learning model training and hardware usage from your mobile phone. It also comes with a bunch of other tools to help write deep learning code efficiently.

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πŸ§‘β€πŸ« 50! Implementations/tutorials

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  • Jupyter Notebook 60.1%
  • Python 39.9%