Top 6 Jupyter Notebook attention Projects
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nn
🧑🏫 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, ... 🧠
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
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TokenCut
(CVPR 2022) Pytorch implementation of "Self-supervised transformers for unsupervised object discovery using normalized cut"
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D2L_Attention_Mechanisms_in_TF
This repository contains Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book.
Jupyter Notebook attention related posts
Index
What are some of the best open-source attention projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | nn | 47,503 |
2 | nlp-tutorial | 13,666 |
3 | pytorch-seq2seq | 5,150 |
4 | pytorch-GAT | 2,222 |
5 | TokenCut | 285 |
6 | D2L_Attention_Mechanisms_in_TF | 12 |
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