An Image Captioning implementation of a CNN Encoder and an RNN Decoder in PyTorch.
-
Updated
Jun 25, 2023 - Jupyter Notebook
An Image Captioning implementation of a CNN Encoder and an RNN Decoder in PyTorch.
Interact with a trained chatbot that uses sequence to sequence model with luong attention mechanism over jointly trained encoder-decoder modules and implementation of greedy search decoding module.
Encoder Decoder Model for Image Captioning
Summarizing and shortening the text using deep learning.
The project consists in building a Transformer Encoder to predict deaths from cardiovascular diseases. An important part is to exploit missing values in order not to lose data information. Data augmentation is performed by adding missing values and noise to training records.
Text generation is the task of generating text with the goal of appearing indistinguishable to human-written text.
The Positional Encoder Decoder is a Visual Basic .NET class that provides functionality for encoding and decoding tokens and sentences using positional embeddings. It allows you to convert between string tokens and their corresponding embeddings, and vice versa.
Training FMNIST and MNIST dataset on Feed Forward Neural Network
A deep learning model to generate captions for images as inputs
CVAE implementation on MNIST dataset using PyTorch
A basic server-client system for courses registration. In this assignment we have implemented a server based on the reactor design pattern and the encoder-decoder model. Our server is built in java and the client side is built in cpp.
Certification Artificial Intelligence Engineer Final Project
Hindi to English Translation using Seq-2-Seq models
An encoder-decoder translation model with or without attention
Experimenting with CR-CED architecture for noise reduction
My NLP experiments using PyTorch to solve some common NLP problems with advanced and state of the art deep learning techniques.
Simple algorithms for error-correcting coding and decoding of a message
Add a description, image, and links to the encoder-decoder-model topic page so that developers can more easily learn about it.
To associate your repository with the encoder-decoder-model topic, visit your repo's landing page and select "manage topics."