There are 0 repository under encoder-decoder-architecture topic.
Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
Implementation of Transformer Encoder Decoder Architecture for Video Predictions
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
Using to predict the highway traffic speed
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
Sequence-to-Sequence Generative Model for Sequential Recommender System
Random lyrics generator.
Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.
Generating Video Caption Using LSTM
State of the art of Neural Machine Translation with PyTorch and TorchText.
we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI
Matlab Variational LSTM Autoencoder and Time Series Prediction for anomaly detection. Some code of my masters thesis. Download Link: https://pure.unileoben.ac.at/portal/files/6093740/AC16131071.pdf
Code for "ObscureNet: Learning Attribute-invariant Latent Representation for Anonymizing Sensor Data", ACM/IEEE IoTDI 2021
Image captioning with a benchmark of CNN-based encoder and GRU-based inject-type (init-inject, pre-inject, par-inject) and merge decoder architectures
TransRUPNet for Improved Out-of-Distribution Generalization in Polyp Segmentation (IEEE EMBC)
Repository containing the codes used for the development of a heart sound prediction system using convolutional neural networks (CNN) for semantic segmentation.
基于Java Web与神经网络的机器翻译网站
A SegNet model trained for segmentation of Lanes suitable for driving for automobiles.
Generate Images from text prompt using Stable Diffusion Model
A solution to American Sign Language Detection using Deep Learning
Semantic Segmentation of Images with Deep Learning
Implementation of GNNs for Visual Question Answering task in PyTorch
The project aims at predicting the prices of Open and Close prices in intraday stock market for next 5 minute window
Use deep learning model to produce a pixel-by-pixel classification of images and identify road for autonomous driving vehicles
I implement encoder-decoder based seq2seq models with attention using Keras. The encoder can be a Bidirectional LSTM, a simple LSTM, or a GRU, and the decoder can be an LSTM or a GRU. I evaluate the models on an English-French dataset.
This research work basically highlights my undergrad thesis works. In my thesis, I have worked on the BraTS 2020 dataset. My total journey of thesis from building various models to writing paper is presented here.
Convolutional Neural network for mask prediction and depth estimation.
A Chatbot model based on Encoder Decoder architecture
This project is about training a deep neural network to identify and track a target in simulation using Udacity's RoboND drone simulator. 🛸 Applications like this are key to many fields of robotics and the techniques applied can be extended to scenarios like advanced cruise control in autonomous vehicles or human-robot collaboration. 👨🏫
Translating English text to Persian using Fairseq-py
Automatic Image Captioning using Deep Learning
This Project is based on multilingual Translation by using the Transformer with an encoder-decoder architecture along with the multi-head self-attention layers with the positional encoding and embedding for better result and accuracy. Overall, this model converts the English to French language using various Techniques of NLP and DL.
Machine Translation using Encoder - Decoder Architecture
An Online URL Encode Decode Tool to convert content into ASCII character-set. Our tool uses in-built JavaScript function for encoding.
This is the PyTorch-based model implementation of the paper "Listen, Attend and Spell", an attention-based encoder-decoder neural model for speech utterance transcription.