Image captioning generation using Swin transformer and GRU attention mechanism

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.

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

ImgCap is an image captioning model designed to automatically generate descriptive captions for images. It has two versions CNN + LSTM model and CNN + LSTM + Attention mechanism model.

Transform your images into valuable insights and creative content using Google Gemini

This project is an image caption generator that uses a deep learning model to generate captions for images. The model is trained using the Flickr8k dataset and leverages a pre-trained Xception model for feature extraction and an LSTM network for sequence processing.

Generative AI Models is a comprehensive repository dedicated to the implementation of cutting-edge generative AI models using Python. It features various models, including those for image captioning and text-to-image generation, leveraging advanced architectures like Vision Transformers (ViT), GPT-2, and Stable Diffusion.

Repo for Implementing Research Papers & Projects related to Machine Learning

Image captioning model using CNN and LSTM

Image Captioning System using VggNet and LSTM Encoder-Decoder architecture

Here are all my code files of Advanced AI/ML architectures built from scratch using Pytorch.

Generating caption from medical image like xray

BLIP-ImageCaption

A pytorch repetition of Novel Object Captioner (NOC)

This repo contains code for an Image Caption Generator using a Flask web app and LSTM neural network.

Pre-Trained CNN Architecture for Indonesian Image Captioning using Transformer.

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

Convert Image to audio using ViT, GPT and FastSpeech