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?‍? 59 Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

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labml.ai Deep Learning Paper Implementations

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.


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

Paper Implementations


Recurrent Highway Networks


HyperNetworks - HyperLSTM



Capsule Networks


Generative Adversarial Networks

Diffusion models

Sketch RNN

✨ Graph Neural Networks

Counterfactual Regret Minimization (CFR)

Solving games with incomplete information such as poker with CFR.

Reinforcement Learning


Normalization Layers


Adaptive Computation



Sampling Techniques

Eleuther GPT-NeoX

Scalable Training/Inference

Highlighted Research Paper PDFs


pip install labml-nn


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

 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.

? labml.ai/labml

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.

Open Source Agenda is not affiliated with "Nn" Project. README Source: labmlai/annotated_deep_learning_paper_implementations

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