lstm-autoencoder

There are 4 repositories under lstm-autoencoder topic.

JulesBelveze / time-series-autoencoder
PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
autoencoder lstm-autoencoder attention-mechanisms time-series multivariate-timeseries pytorch forecasting
Language:Python 703
lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
machine-learning predictive-maintenance ball-bearing python jupyter-notebook random-forest artificial-neural-networks autoencoder lstm-autoencoder kmeans isolation-forest svm gaussian-distribution principal-component-analysis
Language:Jupyter Notebook 140
vincrichard / LSTM-AutoEncoder-Unsupervised-Anomaly-Detection
University Project for Anomaly Detection on Time Series data
lstm-autoencoder pytorch unsupervised-learning anomaly-detection time-series
Language:Jupyter Notebook 112
moabitcoin / Adversarial-video-summarization-pytorch
video summarization lstm-gan pytorch implementation
lstm autoencoder pytorch video-summarization video-representation unsupervised-learning python video lstm-autoencoder
Language:Python 27
Tekraj15 / AnomalyDetectionTimeSeriesData
Anamoly Detection in Time Series data of S&P 500 Stock Price index (of top 500 US companies) using Keras and Tensorflow
lstm series-data detecting-anomalies data-visualization lstm-autoencoder
Language:Jupyter Notebook 26
iSiddharth20 / Generative-AI-Based-Spatio-Temporal-Fusion
A Novel Approach leveraging Auto-Encoders, LSTM Networks and Maximum Entropy Principle for Video Super-Resolution (Upscaling and Frame Interpolation)
autoencoder lstm-autoencoder lstm-neural-network spatio-temporal-modeling spatio-temporal-fusion generative-ai frame-interpolation maxent-models maximum-entropy-regularization video-super-resolution collaborate
Language:Python 14
bartk97 / NYC-Taxi-Anomaly-Detection
Final Project for the 'Machine Learning and Deep Learning' Course at AGH Doctoral School
anomaly-detection autoencoder deep-learning lstm-autoencoder nyc-taxi-dataset time-series time-series-anomaly-detection
Language:Jupyter Notebook 9
drawcodeboy / SRL-AE
Sparse Residual LSTM Autoencoder | Robust Autoencoder for Anomaly Detection in ECG | 2024 대한전자공학회 추계학술대회 | Autumn Annual Conference of IEIE, 2024 | OMS 2
anomaly-detection autoencoder ecg lstm-autoencoder robust robust-autoencoder srl-ae
Language:Python 7
forallx94 / Sequential_Anomaly_detecion
Anomaly detection for Sequential dataset
autoencoder lstm-autoencoder one-class-svm anomaly-detection unsupervised-learning isolation-forest
Language:Jupyter Notebook 5
jaehyeongAN / LSTM-Autoencoder-for-Anomaly-Detection
lstm-autoencoder lstm time-series prediction anomaly-detection python tensorflow
Language:Jupyter Notebook 5
vasudev-sharma / DeepEEG-Forecast
Deep Learning based EEG forecasting toolbox
deep-learning eeg lstm cnn lstm-autoencoder
Language:Jupyter Notebook 5
datablogger-ml / Anomaly-detection-with-Keras
Detect Anomalies with Autoencoders in Time Series data
keras-tensorflow anomaly-detection stock-market neural-network lstm-model lstm-autoencoder
Language:Jupyter Notebook 4
giannhskp / Software-Development-for-Algorithmic-Problems_Project-3
Time Series Forecasting using RNN, Anomaly Detection using LSTM Auto-Encoder and Compression using Convolutional Auto-Encoder
time-series time-series-forecasting time-series-prediction time-series-anomaly-detection compression rnn tensorflow lstm-neural-networks lstm-autoencoder convolutional-neural-networks convolutional-autoencoder
Language:Python 4
n-1-l-s / cobamas-sensor-od
CobamasSensorOD is a framework used to create, train and visualize an autoencoder on sequential multivariate data.
lstm-autoencoder outlier-detection sensor-data
Language:Python 4
xxl4tomxu98 / anomamly-detection-autoencoder
Anomaly Detections and Network Intrusion Detection, and Complexity Scoring.
variational-autoencoder variational-inference lstm-autoencoder time-series-autoencoder anomaly-detection network-security multi-label-classification generative-model unsupervised-learning
Language:Jupyter Notebook 4
lestercardoz11 / SP-500-index-anomaly-detection
Develop LSTM Autoencoder model, to detect anomaly in S&P 500 Index dataset.
machine-learning lstm-autoencoder python jupyter-notebook
Language:Jupyter Notebook 3
danielstankw / LSTM-Pytorch
Implementation of LSTM and LSTM-AE (Pytorch)
lstm lstm-autoencoder pytorch
Language:Jupyter Notebook 2
Muakjwa / Multi-Patching
Multi-Patching for effective & powerful time-series classification
lstm-autoencoder multi-patch time-series
Language:Jupyter Notebook 2
Multi-Class-DDoS-Detection / Multi-Class-DDoS-Detection-using-LSTM-Autoencoder
This project focuses on developing and deploying a robust system for detecting and classifying Multi-Class Distributed Denial of Service (DDoS) attacks.
ddos-attacks deep-learning lstm-autoencoder multi-class-classification real-time-detection
Language:Jupyter Notebook 2
034adarsh / TadGAN-Research
Stock Market Manipulation with Deep Learning. Explore code, datasets, and architectures for detecting and understanding manipulation in financial markets. Join us in researching fair and transparent markets.
jupyter-notebook lstm-autoencoder machine-learning manipulation numpy pandas plotly-express stock-market regenerative-algorithm tadgan
Language:Jupyter Notebook 1
high_vol_stock
bilalsp / high_vol_stock
High Volatility Stock Prediction using Long Short-term Memory (LSTM)
time-series stock lstm lstm-autoencoder forecasting anomaly-detection keras-tensorflow pipeline scikit-learn
Language:Python 1
chaithrakc / news-summarization
Generating short length description of news articles
nlp deep-learning lstm-autoencoder attention-seq2seq transformer-encoder
Language:Jupyter Notebook 1
paya54 / Anomaly_Detect_LSTM
The project is to show how to use LSTM autoencoder and Azure Machine Learning SDK to detect anomalies in time series data
anomaly-detection lstm-autoencoder azure-machine-learning keras keras-tensorflow
Language:Python 1
SaketJha-323 / Drone-Motion-Analysis_Major_Project
Implementing machine learning pipeline for anomaly detection
anomaly-detection confusion-matrix gaussian-process-regression isolation-forest joblib keras-tensorflow lstm-autoencoder matplotlib-pyplot numpy one-class-svm pandas pyod python scikit-learn seaborn tensorflow test-train-split
Language:Jupyter Notebook 1
super-m-a-n / Time-Series-Anomaly-Detection-Forecasting-and-Compression
LSTM model for time-series forecasting. LSTM autoencoder for time-series anomaly detection. Convolutional neural network for time-series autoencoding.
convolutional-neural-network deep-learning lstm-autoencoder lstm-neural-network time-series-forecasting
Language:Jupyter Notebook 1
vvekraman / mlflow-ecg-anomaly-detection-lstm-autoencoder
Detecting conspicuous electrocardiograms (ECG) using LSTM Autoencoder. MLflow is utilized for experiment tracking.
anomaly-detection ecg-signal lstm-autoencoder mlflow mlflow-tracking
Language:Jupyter Notebook 1
mahammadodj / anomaly_detection
This is the technical task by Eilink Digital Research Lab.
anomaly-detection isolation-forest lstm-autoencoder
Language:Jupyter Notebook 0
devCLee / Groudon-Detector
Seismic Activity Detection Algorithm Based On LSTM Autoencoder (NASA International Space Apps Challenge Cleveland 3rd place Project)
anomaly-detection iqr-method lstm-autoencoder machine-learning moonquake nasa seismic-data marsquake
Language:Jupyter Notebook
SAGE-Rebirth / anomaly-detection-iot
A complete workflow for building, training, and deploying a lightweight LSTM Autoencoder anomaly detector for temperature data on the ESP32 microcontroller—without TensorFlow or TFLite. This project uses PyTorch, ONNX, and C++ for efficient, real-time anomaly detection on edge devices.
anomaly-detection anomaly-detector esp32 hardware iot iot-application lstm lstm-autoencoder lstm-model onxx-cpu pytorch pytorch-implementation anomaly-detection-iot
Language:Python

lstm-autoencoder

JulesBelveze / time-series-autoencoder

lestercardoz11 / fault-detection-for-predictive-maintenance-in-industry-4.0

vincrichard / LSTM-AutoEncoder-Unsupervised-Anomaly-Detection

moabitcoin / Adversarial-video-summarization-pytorch

Tekraj15 / AnomalyDetectionTimeSeriesData

iSiddharth20 / Generative-AI-Based-Spatio-Temporal-Fusion

bartk97 / NYC-Taxi-Anomaly-Detection

drawcodeboy / SRL-AE

forallx94 / Sequential_Anomaly_detecion

jaehyeongAN / LSTM-Autoencoder-for-Anomaly-Detection

vasudev-sharma / DeepEEG-Forecast

datablogger-ml / Anomaly-detection-with-Keras

giannhskp / Software-Development-for-Algorithmic-Problems_Project-3

n-1-l-s / cobamas-sensor-od

xxl4tomxu98 / anomamly-detection-autoencoder

lestercardoz11 / SP-500-index-anomaly-detection

danielstankw / LSTM-Pytorch

Muakjwa / Multi-Patching

Multi-Class-DDoS-Detection / Multi-Class-DDoS-Detection-using-LSTM-Autoencoder

034adarsh / TadGAN-Research

bilalsp / high_vol_stock

chaithrakc / news-summarization

paya54 / Anomaly_Detect_LSTM

SaketJha-323 / Drone-Motion-Analysis_Major_Project

super-m-a-n / Time-Series-Anomaly-Detection-Forecasting-and-Compression

vvekraman / mlflow-ecg-anomaly-detection-lstm-autoencoder

mahammadodj / anomaly_detection

devCLee / Groudon-Detector

SAGE-Rebirth / anomaly-detection-iot