a Pytorch version of Gated Attention(GA) Reader model

Text Summarization using LSTM_Attention, TextRank,PyTextRank, LexRank, Gensim and PyTeaser

A sugarcoated warning on attention economy. Made for mobile.

WGAN with feedback from discriminator& LayerNorm instead of BatchNorm

PyTorch implementation of "Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)"

A Project Developed by Graham Henderson as part of TU Dublin B.Sc Hons Degree in Computing in Information Technology.

Code for the Paper Constructing Global Coherence Representations:Identifying Interpretability and Coherences ofTransformer Attention in Time Series Data. It is about creating coherence matrices which represent the attention from each symbol to each other symbol.

Official code for "Towards Top-Down Stereoscopic Image Quality Assessment via Stereo Attention"

Image morphing between prompts using Stable Diffusion

TensorFlow implementation of LIC-TCM (Learned Image Compression with Mixed Transformer-CNN Architectures, CVPR 2023 Highlight)

Implementation of Multi-head Latent Attention (MLA) from DeepSeek-V2

Attention Augmented Convolutional Networks, using ResNet, CORnet, Inception and EfficientNet as backbone architectures

This repository contains the code for submission made at SemEval 2022 Task 5: MAMI

Fake News Detection using Hierarchical Convolutional Attention Network

Attention-based CNN-LSTM model - ICMLA 2024

This repository contains the code to reproduce the experiments performed in the Dynamical Mean-Field Theory of Self-Attention Neural Networks article.

Train a GPT from scratch on your laptop

Exploring Human-like Attention Supervision in Visual Question Answering

.NET/C# visual effects framework for changing the user's locus of attention to an area on the screen

Implementation of 'Transformer' in the paper 'Attention is all you need' with keras