jair-jr / driverBehaviorDatasetLinks
☆87Updated 3 weeks ago
Alternatives and similar repositories for driverBehaviorDataset
Users that are interested in driverBehaviorDataset are comparing it to the libraries listed below
Sorting:
- ☆20Updated 6 years ago
- Given the Live on board data of various drivers, a score corresponding to each driver is to be formulated, which will help insurance comp…☆12Updated 6 years ago
- Reader tool for UAH-DriveSet☆21Updated 4 years ago
- A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting☆124Updated 2 years ago
- using vehicle's trajectory data to analysis the driver's driving behaviors, then to predict the car accident rate☆21Updated 5 years ago
- Multivariate LSTM Fully Convolutional Networks for Time Series Classification☆509Updated 5 years ago
- An LSTM Autoencoder for rare event classification☆105Updated 5 years ago
- An implementation of a sequence to sequence neural network using an encoder-decoder☆209Updated 5 years ago
- Use accelerometer and gyroscope data from smartphones to identify vehicle type (bus or car) and phone location (driver side or passenger …☆35Updated 9 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow☆212Updated 4 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆185Updated 6 years ago
- Classifying time series using feature extraction☆86Updated 6 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 7 years ago
- Some Machine Learning techniques for Time Series classification.☆39Updated 8 years ago
- Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification☆141Updated 6 years ago
- ☆36Updated 8 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆194Updated 4 years ago
- Bayesian LSTM Implementation in PyTorch☆107Updated 2 years ago
- Used LSTM and GRU for RNN, KNN for linear regression☆45Updated 7 years ago
- ☆54Updated 6 years ago
- Understanding an LSTM Autoencoder☆37Updated 6 years ago
- Deep Neural Network Ensembles for Time Series Classification☆111Updated last year
- ☆11Updated 4 years ago
- Anomaly detection for streaming data using autoencoders☆198Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆67Updated 2 years ago
- Estimating driver safety on Pointer's dataset☆9Updated 7 years ago
- A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.☆64Updated 5 years ago
- Temporal Pattern Attention for Multivariate Time Series Forecasting☆726Updated 6 years ago
- Multivariate LSTM Fully Convolutional Networks for Time Series Classification☆102Updated 6 years ago