179 Open source projects that are alternatives of or similar to gqa-node-properties

all kinds of baseline models for long text classificaiton( text categorization)

Hierarchical Attention Networks for Chinese Sentiment Classification

Visualize BERT's self-attention layers on text classification tasks

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

Implementation of Pyramid Attention Networks for Semantic Segmentation.

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Enhanced BiLSTM Inference Model for Natural Language Inference

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

A pytorch implementation of https://arxiv.org/abs/1904.09925

Sequence to Sequence Models in PyTorch

Attention-based multimodal fusion for sentiment analysis

Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

Code for "Free-Lunch Saliency via Attention in Atari Agents"

2018-JDDC大赛第4名的解决方案

Unofficial implementation algorithms of attention models on SNLI dataset

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

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

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Collection of custom layers and utility functions for Keras which are missing in the main framework.

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

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

seq2seq attention tensorflow textrank context

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Attentional Learning of Trash Classification

Attention-based bidirectional LSTM for Classification Task (ICASSP)

A Pytorch Implementation of Attentive Neural Process

Compact Generalized Non-local Network (NIPS 2018)

Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Attention mechanism

Long Range Arena for Benchmarking Efficient Transformers

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

nlp lecture-notes and source code

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting

JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

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.

Official Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"

Train and visualize Hierarchical Attention Networks

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

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

一个基于深度学习的中文聊天机器人，这里有详细的教程与代码，每份代码都有详细的注释，作为学习是美好的选择。A Chinese chatbot based on deep learning.

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Julia Implementation of Transformer models

[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation

A pytorch implementation of the attention based ocr

Multi-head attention in PyTorch

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Predict materials properties using only the composition information!

[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)