177 Open source projects that are alternatives of or similar to Mcan Vqa

Multi-head attention in PyTorch

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

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

A PyTorch Implementation of "Attention Is All You Need"

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

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

Semantic Aware Attention Based Deep Object Co-segmentation

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

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Unofficial implementation algorithms of attention models on SNLI dataset

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

一些不同的Attention机制代码

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

An implementation of attention-based neural machine translation using Pytorch

Predict materials properties using only the composition information!

Fine-grained Sentiment Analysis of User Reviews --- AI CHALLENGER 2018

Enhanced BiLSTM Inference Model for Natural Language Inference

Image Captioning with Keras

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

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

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

NLP: Relation extraction with position-aware self-attention transformer

采用深度学习方法进行刀具识别。

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

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

一套友好的、方便集成的针对cell的左滑编辑功能！

Visualization for simple attention and Google's multi-head attention.

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.

Recalling node properties from a knowledge graph

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

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.

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

Attention mechanism

Summary of Transformer applications for computer vision tasks.

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.

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

A Pytorch Implementation of Attentive Neural Process

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

nlp lecture-notes and source code

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

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

CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"

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

a collection of visualization function

Attentional Learning of Trash Classification

Official code for ResUNetplusplus for medical image segmentation (TensorFlow implementation) (IEEE ISM)

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

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

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

Image captioning using attention models

Predicting protein structure through sequence modeling

[ICCV 2019] "ABD-Net: Attentive but Diverse Person Re-Identification" https://arxiv.org/abs/1908.01114

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

[CVPR2020] "Detecting Attended Visual Targets in Video"

Attention-based View Selection Networks for Light-field Disparity Estimation