Topic: multi-head-attention Goto Github
Some thing interesting about multi-head-attention
Some thing interesting about multi-head-attention
multi-head-attention,Code and Datasets for the paper "A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing", published on Nature Machine Intelligence in 2021.
Organization: aimedlab
Home Page: https://www.nature.com/articles/s42256-020-00285-9
multi-head-attention,Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
User: anicolson
multi-head-attention,Attention is all you need: Discovering the Transformer model
User: ashishbodhankar
multi-head-attention,A Faster Pytorch Implementation of Multi-Head Self-Attention
User: datnnt1997
multi-head-attention,This is the official repository of the original Point Transformer architecture.
User: engelnico
Home Page: https://ieeexplore.ieee.org/document/9552005
multi-head-attention,This project aims to implement the Scaled-Dot-Product Attention layer and the Multi-Head Attention layer using various Positional Encoding methods.
User: gazelle93
multi-head-attention,[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.
Organization: imperial-qore
multi-head-attention,EMNLP 2018: Multi-Head Attention with Disagreement Regularization; NAACL 2019: Information Aggregation for Multi-Head Attention with Routing-by-Agreement
User: jack57lee
multi-head-attention,Self-Supervised Vision Transformers for multiplexed imaging datasets
User: jacobhanimann
multi-head-attention,several types of attention modules written in PyTorch
User: knotgrass
multi-head-attention,完整的原版transformer程序,complete origin transformer program
User: liaoyanqing666
multi-head-attention,Collection of different types of transformers for learning purposes
User: m-e-r-c-u-r-y
multi-head-attention,This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras
User: monk1337
multi-head-attention,TensorFlow implementation of AlexNet with multi-headed Attention mechanism
User: navreeetkaur
multi-head-attention,The Transformer model implemented from scratch using PyTorch. The model uses weight sharing between the embedding layers and the pre-softmax linear layer. Training on the Multi30k machine translation task is shown.
User: pi-tau
multi-head-attention,Exploring attention weights in transformer-based models with linguistic knowledge.
Organization: poloclub
Home Page: https://poloclub.github.io/dodrio/
multi-head-attention,"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver
User: rintarooo
multi-head-attention,A Transformer Classifier implemented from Scratch.
User: sajith-rahim
multi-head-attention,Attention-based Induction Networks for Few-Shot Text Classification
User: shanetian
multi-head-attention,2019达观杯信息提取第5名代码
User: shifop
multi-head-attention,Code for the runners up entry on the English subtask on the Shared-Task-On-Fighting the COVID-19 Infodemic, NLP4IF workshop, NAACL'21.
User: shreyas-kowshik
multi-head-attention,PyTorch implementation of some attentions for Deep Learning Researchers.
User: sooftware
multi-head-attention,A Basic Multi layered Neural Network, With Attention Masking Features
Organization: spydazwebai-nlp
Home Page: https://spydazwebai-nlp.github.io/BasicNeuralNetWork2023/
multi-head-attention,Pytorch Implementation of Transformers
User: tanishqgautam
multi-head-attention,Transformer translator website with multithreaded web server in Rust
User: tate8
multi-head-attention,This repository contains code for implementing Vision Transformer (ViT) model for image classification
User: tmohamedashraft
multi-head-attention,Image Captioning with Encoder as Efficientnet and Decoder as Decoder of Transformer combined with the attention mechanism.
User: tranquoctrinh
multi-head-attention,HydraViT is a PyTorch implementation of the HydraViT model, an adaptive multi-branch transformer for multi-label disease classification from chest X-ray images. The repository provides the necessary code to train and evaluate the HydraViT model on the NIH Chest X-ray dataset.
User: yigitturali
Home Page: https://arxiv.org/abs/2310.06143
multi-head-attention,Text matching using several deep models.
User: young-zonglin
multi-head-attention,Multi^2OIE: Multilingual Open Information Extraction Based on Multi-Head Attention with BERT (Findings of ACL: EMNLP 2020)
User: youngbin-ro
Home Page: https://arxiv.org/abs/2009.08128v2
multi-head-attention,Visualization for simple attention and Google's multi-head attention.
User: zhaocq-nlp
multi-head-attention,Sentence encoder and training code for Mean-Max AAE
User: zminghua
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