crowd-flow-prediction

Crowd Flow Prediction: A Deep Learning Toolbox for Spatio-Temporal Data with additional features to include text information from the internet.

Tested on Linux (Fedora 23 and Ubuntu 14.04LTS).

Installation

This project rely on the DeepST library, which uses the following dependencies:

Keras and its dependencies are required to use DeepST. Please read Keras Configuration for the configuration setting.
Theano or TensorFlow, but Tensorflow is recommended.
numpy and scipy
HDF5 and h5py
pandas
CUDA 7.5 or latest version. And cuDNN is highly recommended.

To install DeepST, cd to the DeepST folder and run the install command:

python setup.py install

DeepST is released under the MIT License (refer to the LICENSE file for details).

Name		Name	Last commit message	Last commit date
Latest commit History 80 Commits
DeepST		DeepST
dataset		dataset
README.md		README.md
exptCrowdFlow_SG.py		exptCrowdFlow_SG.py
exptCrowdFlow_SG_ARIMA.py		exptCrowdFlow_SG_ARIMA.py
exptCrowdFlow_SG_baselines.py		exptCrowdFlow_SG_baselines.py
exptCrowdFlow_SG_multiDS.py		exptCrowdFlow_SG_multiDS.py
get_rmse.py		get_rmse.py
keras_configuration.md		keras_configuration.md
model.png		model.png