jair-jr / driverBehaviorDatasetLinks
☆88Updated 5 months ago
Alternatives and similar repositories for driverBehaviorDataset
Users that are interested in driverBehaviorDataset are comparing it to the libraries listed below
Sorting:
- Use accelerometer and gyroscope data from smartphones to identify vehicle type (bus or car) and phone location (driver side or passenger …☆35Updated 10 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Updated 6 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆357Updated 4 years ago
- Human Activity Recognition Using Deep Learning☆49Updated 5 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆196Updated 4 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆71Updated 2 years ago
- Time series forecasting☆79Updated 6 years ago
- Reader tool for UAH-DriveSet☆24Updated 4 years ago
- An LSTM Autoencoder for rare event classification☆107Updated 5 years ago
- ☆37Updated 8 years ago
- A notebook tutorial series for performing predictive maintenance using machine learning☆153Updated 5 years ago
- Deep Neural Network Ensembles for Time Series Classification☆112Updated 2 years ago
- Bayesian LSTM Implementation in PyTorch☆113Updated 2 years ago
- deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variablesThe VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆85Updated 7 years ago
- A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…☆123Updated 8 years ago
- Some Machine Learning techniques for Time Series classification.☆39Updated 8 years ago
- time-series prediction for predictive maintenance☆54Updated 6 years ago
- Understanding an LSTM Autoencoder☆38Updated 6 years ago
- Anomaly detection implemented in Keras☆376Updated 7 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆223Updated 5 years ago
- Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h no…☆61Updated 7 years ago
- LSTMS for Predictive Maintenance☆340Updated 8 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆413Updated 5 years ago
- Anomaly detection for temporal data using LSTMs☆226Updated 4 years ago
- PCA and DBSCAN based anomaly and outlier detection method for time series data.☆48Updated 7 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- Time Series Prediction☆48Updated 4 years ago
- Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised dee…☆129Updated 4 years ago
- Anomaly detection for streaming data using autoencoders☆203Updated 3 years ago
- Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time…☆91Updated 4 years ago