Mixed vision-language Attention Model that gets better by making mistakes

Showcase of applications I made with the Flet python framework.

Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

A Mindspore Implementation of paper "Show and Tell : Neural Image Caption Generation"

PyTorch implementation of Image Captioning using CNNs + LSTMs

A model inspired from the famous Show and Tell Model is implemented for automatic image captioning.

This repo demonstrates deploying RedwoodJS to Kubernetes using GitHub Actions, GitHub Container Registry and ArgoCD.

PyTorch re-implementation of some papers on image captioning | 图像描述

Show and Tell demonstration homepage

In this project, we use a Deep Recurrent Architecture, which uses CNN (VGG-16 Net) pretrained on ImageNet to extract 4096-Dimensional image feature Vector and an LSTM which generates a caption from these feature vectors.

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

A neural image caption generator based on the "Show and Tell" paper.

Automatic Car License/Number Plate recognition System

Weekly updates from CSAFE students and faculty

Neural Image Caption Generators

Implementation of Neural Image Caption Generation using Flicker dataset.It generates a descriptive sentence of the uploaded image

ThreeJS demo repository used for HackerYou Fall 2018 FT Bootcamp Show and Tell.

A native caption generation application using the Show and Tell model