Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.
Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex
Image captioning ready-to-go inference: show and tell model compatible with Tensorflow r1.9
Code of Dense Relational Captioning
Generating Captions for images using CNN & LSTM on Flickr8K dataset.The generation of captions from images has various practical benefits, ranging from aiding the visually impaired.
Repo for Implementing Research Papers & Projects related to Machine Learning
Image caption generator with Web UI
Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments
A dockerised web-app to generate captions for uploaded images.
An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"
An App with Voice Assisted Image Captioning and VQA For Visually Challenged Individuals
A versatile app that converts images into short stories and lifelike audio locally. It combines Hugging Face's image captioning, Groq's story generation, and Parler TTS for local text-to-speech synthesis. Ideal for AI-driven projects with fast, reliable on-device TTS.
An application that searches for an image in your gallery based on a given input search query that describes the image. Captions are generated for every image in the gallery and the images whose captions are most similar to the search query are retrieved. This solves the problem of the user having to scroll through hundreds of images to search f…
This repository contains an implementation of an image captioning model that leverages deep learning for generating textual descriptions of images. The model extracts high-level features from images using a pre-trained convolutional neural network (CNN) model, such as VGG16, and stores them for further processing. The extracted features are later u
Pre-Trained CNN Architecture for Indonesian Image Captioning using Transformer.
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