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Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

Categories > Machine Learning > Attention

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30

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mit

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3 years ago

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Python

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Programming Languages > Python

Machine Learning > Attention

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Annotated_deep_learning_paper_implementations ⭐ 41,877

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

dependent packages 2total releases 79most recent commit 4 months ago

pypi labml-nn} Downloads

Vit Pytorch ⭐ 16,298

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

dependent packages 6total releases 184most recent commit 5 months ago

pypi vit-pytorch} Downloads

Numpy Ml ⭐ 14,162

Machine learning, in numpy

total releases 3most recent commit 6 months ago

Nlp Tutorial ⭐ 13,226

Natural Language Processing Tutorial for Deep Learning Researchers

most recent commit 5 months ago

External Attention Pytorch ⭐ 10,361

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

total releases 2most recent commit 4 months ago

Attention Is All You Need Pytorch ⭐ 7,910

A PyTorch implementation of the Transformer model in "Attention is All You Need".

most recent commit 7 months ago

Text_classification ⭐ 7,628

all kinds of text classification models and more with deep learning

most recent commit 7 months ago

Espnet ⭐ 7,563

End-to-End Speech Processing Toolkit

dependent packages 5total releases 33most recent commit 3 months ago

pypi espnet} Downloads

Gpt Neox ⭐ 6,366

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

most recent commit 3 months ago

TensorFlow Neural Machine Translation Tutorial

most recent commit 2 years ago

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