Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine

[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"

PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.

End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial

Undergraduate Research Project

Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM

Keras implementation of path-based link prediction model for knowledge graph completion

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 …

S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models

Image Captioning using LSTM and Deep Learning on Flickr8K dataset.

A Deep Learning Based Automated Video Colorization Framework

A stock selection and prediction tool for the next day using a variety of stacked LSTM neural networks

LSTM action recognition.

This deep learning model uses a CNN-LSTM architecture to predict whether a given domain name is genuine or was artificially generated by a DGA.

An easy-to-use CLI tool for training and testing image classifiers

Clinical Named Entity Recognition for EHR

This repository aims to address the critical issue of identifying and understanding suicide ideation in social media conversations, specifically focusing on Twitter data.

NLP with LSTM for Sentiment Analysis of English texts

A comparative analysis of various machine learning models for time series forecasting, including traditional methods and LLMs.