imagecaptioning

Multi-Modal learning toolkit based on PaddlePaddle and PyTorch, supporting multiple applications such as multi-modal classification, cross-modal retrieval and image caption.

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

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

Code for GHA (ACCV2018)

Repo for Implementing Research Papers & Projects related to Machine Learning

ImageCaptioning improved with an attention mechanism. Also a PyQt5 application

Some interesting applications of RNN, e.g. char rnn (pomes generation), seq2seq (machine translation), image captioning (NIC)

An implementation of the paper "Context-aware Captions from Context-agnostic Supervision"

A dockerised web-app to generate captions for uploaded images.

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.

TensorFlow-2 implementation of Im2Latex deep learning model described in HarvardNLP paper "What You Get Is What You See: A Visual Markup Decompiler"

An App with Voice Assisted Image Captioning and VQA For Visually Challenged Individuals

Implementation of various basic layers forward and back propagation. CS 231n Stanford Spring 2018: Convolutional Neural Networks for Visual Recognition. Solutions to Assignments

A CNN model to predict the scene or location from any given image

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.

First Chinese Multi-Style Image Caption Model

Image Caption Generator project focuses on creating a Neural Network architecture to automatically generate captions from images.

A WebApp that Generates Caption for Images using CNN-RNN Architecture