《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
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Updated
Feb 23, 2023 - Jupyter Notebook
《李宏毅深度学习教程》,PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
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!
Datasets, tools, and benchmarks for representation learning of code.
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
The implementation of DeBERTa
Recent Transformer-based CV and related works.
Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
list of efficient attention modules
Text classification using deep learning models in Pytorch
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
A Structured Self-attentive Sentence Embedding
A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"
Implementing Stand-Alone Self-Attention in Vision Models using Pytorch
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