Natural Language Processing
jadore801120/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
PythonMITupdated Apr 16, 2024
🏆 #3,921 overall#1415 of 2,559 in Natural Language Processing
cbaziotis /neat-vision
Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)
$ git clone https://github.com/cbaziotis/neat-vision.gitStars
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Language
Vue
License
MIT
Created
Apr 25, 2018
8.6 years old
Last push
May 4, 2018
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floriankark/cs224n-win2223
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
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kushalj001/pytorch-question-answering
Important paper implementations for Question Answering using PyTorch
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tlatkowski/multihead-siamese-nets
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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dair-ai/ML-YouTube-Courses
▲ +6 ★ this week
📺 Discover the latest machine learning / AI courses on YouTube.
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