Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
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Updated
Dec 18, 2023 - Python
Official implementation of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"
Implementation of Transformer Encoder Decoder Architecture for Video Predictions
Using to predict the highway traffic speed
Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
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.
State of the art of Neural Machine Translation with PyTorch and TorchText.
Code for "ObscureNet: Learning Attribute-invariant Latent Representation for Anonymizing Sensor Data", ACM/IEEE IoTDI 2021
Generating Video Caption Using LSTM
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
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)
基于Java Web与神经网络的机器翻译网站
Repository containing the codes used for the development of a heart sound prediction system using convolutional neural networks (CNN) for semantic segmentation.
we generate captions to the images which are given by user(user input) using prompt engineering and Generative AI
The project aims at predicting the prices of Open and Close prices in intraday stock market for next 5 minute window
Convolutional Neural network for mask prediction and depth estimation.
A SegNet model trained for segmentation of Lanes suitable for driving for automobiles.
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