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Search results for pytorch attention mechanism

attention-mechanism x

153 search results found

Mid-level PyTorch Based Framework for Visual Question Answering.

Attention ⭐ 21

several types of attention modules written in PyTorch

Medical Diagnosis Learning ⭐ 20

Learning from Discharge Summaries to extract mentioned diagnoses using Hierarchical Attention Model

Imle Net ⭐ 20

Official implementation of our IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"

Unsupervisedattentionmechanism ⭐ 19

Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".

Compact Global Descriptor ⭐ 19

Pytorch implementation of "Compact Global Descriptor for Neural Networks" (CGD).

Siamese Nn Semantic Text Similarity ⭐ 19

A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.

Applied Deep Learning (2019 Spring) @ NTU

Attn Gan ⭐ 17

Pytorch implementation of paper: AttnGAN Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks

Abstractive Text Summarization ⭐ 17

Contrastive Attention Mechanism for Abstractive Text Summarization

Spatial Temporal Attention ⭐ 17

Code for the im4MEC model described in the paper 'Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts'.

Resolutions 2019 ⭐ 16

A list of data mining and machine learning papers that I implemented in 2019.

Attention Mechanism Enhanced Kpn ⭐ 15

The Implementation of Attention Mechanism Enhanced Kernel Prediction Networks in PyTorch.

Chappie.ai ⭐ 15

Generalized AI to perform a multitude of tasks written in python3

Rendezvous ⭐ 14

A transformer-inspired neural network for surgical action triplet recognition from laparoscopic videos.

Cvdd Pytorch ⭐ 14

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Aoa Pytorch ⭐ 13

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

Cross Transformers Pytorch ⭐ 13

Implementation of Cross Transformer for spatially-aware few-shot transfer, in Pytorch

a simple and complete pytorch implementation of neural machine translation system

Point Transformer ⭐ 13

This is the official repository of the original Point Transformer architecture.

A PyTorch implementation of DANet based on CVPR 2019 paper "Dual Attention Network for Scene Segmentation"

Image_captioning_with_attention ⭐ 12

CaptionBot : Sequence to Sequence Modelling where Encoder is CNN(Resnet-50) and Decoder is LSTMCell with soft attention mechanism

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

Top Dropblock ⭐ 11

Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020

San Pytorch ⭐ 11

Let us try implementing SAN in pytorch from scratch

Vision_models_playground ⭐ 11

Playground for testing and implementing various Vision Models

Artificial Text Detection ⭐ 10

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Aaframework ⭐ 10

Attention Aggregation Framework in PyTorch, ECCV Workshops 2020

Transformer ⭐ 9

Job Recommend Competition ⭐ 9

🥇KNOW기반 직업 추천 알고리즘 경진대회 1등 솔루션입니다🥇

Kws Attention ⭐ 8

Attention-based model for keywords spotting

Show Attend And Tell Pytorch Implementation ⭐ 8

Transformer Simple ⭐ 7

使用transformer架构实现简单的英语翻译中文模型

The implement attention conditional GANs (AcGAN) model.

Learning To Expire Pytorch ⭐ 7

An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain

Source code for our paper "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

Selfextend ⭐ 7

Implementation of SelfExtend from the paper "LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning" from Pytorch and Zeta

3dattnvae Gan ⭐ 7

A VAE-GAN model designed for learning 3d shape from a single 2d image. Trained on ShapeNetCore Dataset

Style Attention Void Aware Style Transfer ⭐ 6

A style-attention-void-aware style transfer model that learns the blank-leaving information during the style transfer.

Multi Attention Recurrent Network Marn Aaai2018 ⭐ 6

Implementation of MARN AAAI18 in pytorch

Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning

Chapter 9: Attention and Memory Augmented Networks

Hma Translit ⭐ 6

Transliteration using Sequence to Sequence transduction using Hard Monotonic Attention, based on our EMNLP 2018 paper

LEAP: Linear Explainable Attention in Parallel for causal language modeling with O(1) path length, and O(1) inference

Hierarchical Language Modeling ⭐ 5

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

A PyTorch implementation of the Attention Diffusion Network from "Structured Time Series Prediction without Structural Prior".

Dynamicattentionnetworks ⭐ 5

Dynamic Attention Networks For Time Series State Forecasting in Cyber Physical Systems

Scan_pytorch ⭐ 5

support pytorch>=0.4

Markovrnns ⭐ 5

Pytorch implementation of Markov RNNs

This is the implementation code for the paper, "A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents"

Code for the WWW '19 paper "Event Detection using Hierarchical Multi-Aspect Attention"

Neural Image Caption Generator ⭐ 5

In this project, I define and train an image-to-caption model that can produce descriptions for real world images with Flickr-8k dataset.

Image Caption ⭐ 5

PyTorch implementation of image captioning based on attention mechanism

Deeplearning ⭐ 5

Dive Into Deep Learning 的学习代码以及笔记，在这里我还自己增加了一些学到的东西，具体的内容可以在目录中看到

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