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๐Ÿง‘โ€๐Ÿซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

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labmlai/annotated_deep_learning_paper_implementations

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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

โœจ Transformers

โœจ LSTM

โœจ ResNet

โœจ ConvMixer

โœจ U-Net

โœจ Sketch RNN

โœจ Graph Neural Networks

Solving games with incomplete information such as poker with CFR.

โœจ Optimizers

โœจ Distillation

โœจ Uncertainty

โœจ Activations

Installation

pip install labml-nn

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๐Ÿง‘โ€๐Ÿซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

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