titu1994/LSTM-FCN
LSTM-FCN models for time series classification built with Keras, augmenting Temporal Convolutional layers with LSTM recurrent networks.
Not currently ranked — collecting fresh signals.
star history
This repository implements LSTM Fully Convolutional Networks for univariate and multivariate time series classification. The models combine the fast classification performance of Temporal Convolutional layers with the precision of Long Short Term Memory recurrent neural networks. The project includes an ablation study of nearly 3,627 experiments analyzing the contribution of each model component.
Frequently asked
- What is titu1994/LSTM-FCN?
- LSTM-FCN models for time series classification built with Keras, augmenting Temporal Convolutional layers with LSTM recurrent networks.
- Is LSTM-FCN open source?
- Yes — titu1994/LSTM-FCN is an open-source project tracked on heatdrop.
- What language is LSTM-FCN written in?
- titu1994/LSTM-FCN is primarily written in Python.
- How popular is LSTM-FCN?
- titu1994/LSTM-FCN has 802 stars on GitHub.
- Where can I find LSTM-FCN?
- titu1994/LSTM-FCN is on GitHub at https://github.com/titu1994/LSTM-FCN.