image-captioning

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

Image Caption Generator implemented using Tensorflow and Keras in a Python Jupyter Notebook. The goal is to describe the content of an image by using a CNN and RNN.

This repository contains notebooks showcasing various generative models, including DCGAN and VAE for anime face generation, an Autoencoder for converting photos to sketches, a captioning model using an attention mechanism for an image caption generator, and more.

BLIP-2 implementation for training vision-language models. Q-Former + frozen encoders + any LLM. Colab-ready notebooks with MoE variant.

This repository contains notebooks for Udacity's Nanodegree on Deep Learning for Computer Vision

This notebook demonstates end-to-end process of generating image embeddings from Flickr8k dataset using InceptionV3 and generate captions using LSTM.

Repo hosting the notebooks for the assignments of the fall 21 "Neural Networks and Intelligent Systems" course @ NTUA

Image Captioning Tool that uses the BLIP vision-language model to generate natural captions for images. Includes scripts/notebooks for setup, running inference, and experimenting with prompts.