280 Open source projects that are alternatives of or similar to Keras Attention Mechanism

Attention-based multimodal fusion for sentiment analysis

Protein-compound affinity prediction through unified RNN-CNN

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Fake News Detection using Deep Learning models in Tensorflow

Sparse and structured neural attention mechanisms

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.

Deep neural network to extract intelligent information from invoice documents.

Implementation of Knowledge Aided Consistency for Weakly Supervised Phrase Grounding in Tensorflow

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A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

Bidirectional LSTM network for speech emotion recognition.

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

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Image Captioning based on Bottom-Up and Top-Down Attention model

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

Machine Reading Comprehension in Tensorflow

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

Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/

all kinds of text classification models and more with deep learning

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

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!

Chinese Poetry Generation

Visualizing RNNs using the attention mechanism

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

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

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

Tensorflow Implement of GeoMAN, IJCAI-18

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

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

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

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

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

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

Implementation of Bottleneck Transformer in Pytorch

Important paper implementations for Question Answering using PyTorch

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

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

Coherent Semantic Attention for image inpainting(ICCV 2019)

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

Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

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

Hierarchical Attentive Recurrent Tracking

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

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Pointer-generator reinforced seq2seq summarization in PyTorch

attention model for entailment on SNLI corpus implemented in Tensorflow and Keras

Fully featured implementation of Routing Transformer

Raw implementation of attention gated U-Net by Keras

Implementation of Grounding of Textual Phrases in Images by Reconstruction in Tensorflow

Source code of paper: (not available now)

Transformer based on a variant of attention that is linear complexity in respect to sequence length

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Image Captions Generation with Spatial and Channel-wise Attention