PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
time-series pytorch forecasting autoencoder multivariate-timeseries attention-mechanisms lstm-autoencoder
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Mar 6, 2025 - Python
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lstm-autoencoder
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This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
python machine-learning random-forest svm jupyter-notebook autoencoder artificial-neural-networks kmeans principal-component-analysis gaussian-distribution isolation-forest ball-bearing predictive-maintenance lstm-autoencoder
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Jul 11, 2021 - Jupyter Notebook
University Project for Anomaly Detection on Time Series data
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Jun 28, 2024 - Jupyter Notebook
video summarization lstm-gan pytorch implementation
python video video-summarization pytorch lstm autoencoder unsupervised-learning video-representation lstm-autoencoder
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Dec 6, 2019 - Python
Anamoly Detection in Time Series data of S&P 500 Stock Price index (of top 500 US companies) using Keras and Tensorflow
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Aug 1, 2020 - Jupyter Notebook
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)
autoencoder collaborate maximum-entropy-regularization spatio-temporal-modeling lstm-neural-network frame-interpolation video-super-resolution lstm-autoencoder maxent-models generative-ai spatio-temporal-fusion
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Jul 5, 2024 - Python
Final Project for the 'Machine Learning and Deep Learning' Course at AGH Doctoral School
deep-learning time-series autoencoder anomaly-detection nyc-taxi-dataset lstm-autoencoder time-series-anomaly-detection
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Jun 28, 2022 - Jupyter Notebook
Sparse Residual LSTM Autoencoder | Robust Autoencoder for Anomaly Detection in ECG | 2024 대한전자공학회 추계학술대회 | Autumn Annual Conference of IEIE, 2024 | OMS 2
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Jul 5, 2025 - Python
Anomaly detection for Sequential dataset
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Sep 3, 2021 - Jupyter Notebook
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Mar 9, 2020 - Jupyter Notebook
Deep Learning based EEG forecasting toolbox
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Dec 8, 2022 - Jupyter Notebook
CobamasSensorOD is a framework used to create, train and visualize an autoencoder on sequential multivariate data.
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Oct 23, 2021 - Python
Time Series Forecasting using RNN, Anomaly Detection using LSTM Auto-Encoder and Compression using Convolutional Auto-Encoder
compression time-series tensorflow rnn convolutional-neural-networks convolutional-autoencoder lstm-neural-networks time-series-prediction time-series-forecasting lstm-autoencoder time-series-anomaly-detection
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Mar 31, 2022 - Python
Anomaly Detections and Network Intrusion Detection, and Complexity Scoring.
generative-model unsupervised-learning multi-label-classification variational-inference network-security anomaly-detection variational-autoencoder lstm-autoencoder time-series-autoencoder
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Oct 28, 2022 - Jupyter Notebook
Detect Anomalies with Autoencoders in Time Series data
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Oct 1, 2020 - Jupyter Notebook
Develop LSTM Autoencoder model, to detect anomaly in S&P 500 Index dataset.
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Jul 18, 2020 - Jupyter Notebook
Implementation of LSTM and LSTM-AE (Pytorch)
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Aug 15, 2023 - Jupyter Notebook
Multi-Patching for effective & powerful time-series classification
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Sep 20, 2024 - Jupyter Notebook
This project focuses on developing and deploying a robust system for detecting and classifying Multi-Class Distributed Denial of Service (DDoS) attacks.
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Jun 3, 2025 - Jupyter Notebook
LSTM model for time-series forecasting. LSTM autoencoder for time-series anomaly detection. Convolutional neural network for time-series autoencoding.
deep-learning convolutional-neural-network lstm-neural-network time-series-forecasting lstm-autoencoder
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May 29, 2023 - Jupyter Notebook
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