attention-visualization

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

Plot the vector graph of attention based text visualisation

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

Train and visualize Hierarchical Attention Networks

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

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

Summary of Transformer applications for computer vision tasks.

(ECCV2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5. Designed a Web application for model deployment using the Flask framework.

Lightweight visualization tool for neural attention mechanisms

my codes for learning attention mechanism

attention mechanism in keras, like Dense and RNN...

PyTorch implementation of the End-to-End Memory Network with attention layer vizualisation support.

A Pytorch implementation of the paper 'Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'

Encoder-Decoder CNN-LSTM Model with an attention mechanism for image captioning. Trained using the Microsoft COCO Dataset.

Multimodal Bi-Transformers (MMBT) in Biomedical Text/Image Classification

Transfer learning pretrained vision transformers for breast histopathology

This project presents Attention-enhanced Multi-channel Recurrent Convolutional Network (AMRCN), for explainable fake news detection.

Creating word-weighted heatmap's latex script given a list of tokens and attention scores

Visual Data Analysis focuses on visualization and interaction techniques used to support decision-makers find patterns, and trends or to extract new knowledge from data. The main focus within visual data analytics is put on information visualization, visual analytics, human perception, and cognition as well as human-computer interaction.

Attention weight visualisation for sentiment analysis.