253 Open source projects that are alternatives of or similar to Deepattention

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)

A Structured Self-attentive Sentence Embedding

attention mechanism in keras, like Dense and RNN...

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

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

Neural Machine Translation with Keras

Attention mechanism Implementation for Keras.

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

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

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

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Visualizing RNNs using the attention mechanism

Machine Reading Comprehension in Tensorflow

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

An implementation of Performer, a linear attention-based transformer, in Pytorch

Pointer-generator reinforced seq2seq summarization in PyTorch

Implementation of "Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning"

Code for Describing a Knowledge Base

An implementation of (Induced) Set Attention Block, from the Set Transformers paper

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

End-to-end ASR/LM implementation with PyTorch

基于金融-司法领域(兼有闲聊性质)的聊天机器人，其中的主要模块有信息抽取、NLU、NLG、知识图谱等，并且利用Django整合了前端展示,目前已经封装了nlp和kg的restful接口

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

Text classifier for Hierarchical Attention Networks for Document Classification

Action recognition using soft attention based deep recurrent neural networks

Text classification using deep learning models in Pytorch

A TensorFlow Implementation of the Transformer: Attention Is All You Need

计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Attentive Federated Learning for Private NLM

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

🔍 Attentional interfaces in TensorFlow.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

Attention mechanism for processing sequential data that considers the context for each timestamp.

This repository implements the the encoder and decoder model with attention model for OCR

TensorFlow Implementation of "Show, Attend and Tell"

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

Code for Paper Abstract Writing through Editing Mechanism

Attention,Factorization Machine, Deep Learning, Recommender System

all kinds of text classification models and more with deep learning

A collection of important graph embedding, classification and representation learning papers with implementations.

[NeurIPS 2021] Galerkin Transformer: a linear attention without softmax

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

Attention OCR Based On Tensorflow

Implementation of Linformer for Pytorch

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

A Pytorch Implementation of "Neural Speech Synthesis with Transformer Network"