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 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"

AI Poet who looks at the images and writes poems Web service.

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

Generating caption from medical image like xray

VisionVerse is a versatile tool that integrates image captioning, pre-trained image classification, and text-to-image generation.

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.

Models and examples built with TensorFlow

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

BLIP-ImageCaption