256 Open source projects that are alternatives of or similar to attention-mechanism-keras

Attention mechanism Implementation for Keras.

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

A Structured Self-attentive Sentence Embedding

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Neural Machine Translation with Keras

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Deep Visual Attention Prediction (TIP18)

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

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

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

A prototype version of our submitted paper: Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creatives.

HBAM: Hierarchical Bi-directional Word Attention Model

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

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

Repository for Attention Algorithm

Attention mechanism

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

Predict materials properties using only the composition information!

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

Implementation of Nyström Self-attention, from the paper Nyströmformer

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

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This is our implementation of SAMN: Social Attentional Memory Network

Exploring attention weights in transformer-based models with linguistic knowledge.

Arbitrary Style Transfer with Style-Attentional Networks

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch

Drug effect prediction using neural network

Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

Attention mechanism in CNNs to extract events of interest

Multigrid Neural Architecture

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

Enhanced BiLSTM Inference Model for Natural Language Inference

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Sentiment Analysis: Deep Bi-LSTM+attention model

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

nlp lecture-notes and source code

No description or website provided.

Machine translation is the task of converting one language to other. Unlike the traditional phrase-based translation system which consists of many small sub-components that are tuned separately, neural machine translation attempts to build and train a single, large neural network that reads a sentence and outputs a correct translation.

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

The implementation of "Gated Attentive-Autoencoder for Content-Aware Recommendation"

Playground for implementing custom layers and other components compatible with keras, with the purpose to learn the framework better and perhaps in future offer some utils for others.

An implementation of the efficient attention module.

[AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

A minimal nmt example to serve as an seq2seq+attention reference.

A seq2seq with attention dialogue/MT model implemented by TensorFlow.

source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

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

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

Implementation of Axial attention - attending to multi-dimensional data efficiently

a collection of visualization function