Shopify-Pipedrive Integration This project provides a JavaScript program that integrates Shopify and Pipedrive, allowing you to automate the process of creating deals in Pipedrive based on Shopify orders. The program follows a series of steps to fetch data from Shopify and Pipedrive, create or update records, and establish connections between them.

Implementation of GRU-based Encoder-Decoder Architecture with Bahdanau Attention Mechanism for Machine Translation from German to English.

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

Extract explainablity from RoBERTa 🪆 ad Born 🐈 while classifying depresson 🎭

Attention weight visualisation for sentiment analysis.

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

Get CLIP ViT text tokens about an image, visualize attention as a heatmap.

In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.

Implementation of Visual Attention (ViT) for Image Classification using pytorch

CLIP GUI - XAI app ~ explainable (and guessable) AI with ViT & ResNet models

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

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

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

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

Easy-to-read implementation of self-supervised learning using vision transformer and knowledge distillation with no labels - DINO 😃

Transfer learning pretrained vision transformers for breast histopathology

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

Summary of Transformer applications for computer vision tasks.

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.