Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
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Updated
Oct 2, 2020 - Python
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
PyTorch Code for running various time series models for different time stamps and confidence intervals for Solar Irradiance prediction.
Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM
[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"
End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial
Undergraduate Research Project
Keras implementation of path-based link prediction model for knowledge graph completion
S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models
Image Captioning using LSTM and Deep Learning on Flickr8K dataset.
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.
A Deep Learning Based Automated Video Colorization Framework
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 …
A stock selection and prediction tool for the next day using a variety of stacked LSTM neural networks
NLP with LSTM for Sentiment Analysis of English texts
A Machine Learning-based Empirical study to predict the Stock Market Price of the future 10 days Using Historical Data. Research Paper is published at https://ieeexplore.ieee.org/document/9342571
The goal of this project is to build a VQA model that can take a pair of Image and Question (English) as input, then return the Answer for the Question about the Image.
A repository contains necessary foundational exercises in NLP for beginners.
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