413 Open source projects that are alternatives of or similar to AoA-pytorch

Code for NeurIPS 2019 paper ``Self-Critical Reasoning for Robust Visual Question Answering''

Attention mechanism

Keras Implementation of Aspect based Sentiment Analysis

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

A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Attention-based bidirectional LSTM for Classification Task (ICASSP)

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!

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

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

Bottom-up features extractor implemented in PyTorch.

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.

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

Attention-based multimodal fusion for sentiment analysis

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

[TPAMI Special Issue on ICCV 2021 Best Papers, Oral] Just Ask: Learning to Answer Questions from Millions of Narrated Videos

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

A Structured Self-attentive Sentence Embedding

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

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

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

Train and visualize Hierarchical Attention Networks

Predict materials properties using only the composition information!

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

Mid-level PyTorch Based Framework for Visual Question Answering.

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

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

a collection of visualization function

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

TensorFlow implementation of the CNN-LSTM, Relation Network and text-only baselines for the paper "FigureQA: An Annotated Figure Dataset for Visual Reasoning"

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

Deep-Learning based CTR models implemented by PyTorch

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

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

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

End-to-end ASR/LM implementation with PyTorch

Pointer-generator reinforced seq2seq summarization in PyTorch

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

一些不同的Attention机制代码

A Tensorfflow implementation of Attend, Infer, Repeat

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

Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"

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

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

Learnable Multi-level Frequency Decomposition and Hierarchical Attention Mechanism for Generalized Face Presentation Attack Detection

Multigrid Neural Architecture

Recalling node properties from a knowledge graph

Repo for ICCV 2021 paper: Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering

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

Multi-head attention in PyTorch

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.

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

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

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

Image Captioning with Keras

No description or website provided.

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

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

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

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

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]