DeepST

DeepST: A Deep Learning Toolbox for Spatio-Temporal Data

Tested on Windows Server 2012 R2.

Installation

DeepST 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 Theano 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

To install the development version:

python setup.py develop

The default DATAPATH variable is DATAPATH=[path_to_DeepST]/data. You may set your DATAPATH variable using

# Windows
set DATAPATH=[path_to_your_data]

# Linux
export DATAPATH=[path_to_your_data]

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 73 Commits
NYC_MODEL		NYC_MODEL
Test_MODEL		Test_MODEL
Test_RET		Test_RET
data		data
deepst		deepst
scripts/papers/AAAI17		scripts/papers/AAAI17
.gitignore		.gitignore
ConvLSTM_transfer_learning.ipynb		ConvLSTM_transfer_learning.ipynb
LICENSE		LICENSE
README.md		README.md
conv1d_lstm.py		conv1d_lstm.py
conv2d_lstm.py		conv2d_lstm.py
conv2d_lstm_citywide.py		conv2d_lstm_citywide.py
conv2d_lstm_plot.py		conv2d_lstm_plot.py
conv_lstm.py		conv_lstm.py
data_exploration.ipynb		data_exploration.ipynb
keras_configuration.md		keras_configuration.md
preprocessing.pkl		preprocessing.pkl
setup.py		setup.py
test.ipynb		test.ipynb
testBJ_binCNN.py		testBJ_binCNN.py
testbinCNN.py		testbinCNN.py
testbinCNN_CPTM.py		testbinCNN_CPTM.py
testmodel.py		testmodel.py
threeway_ConvLSTM.ipynb		threeway_ConvLSTM.ipynb
threeway_ConvLSTM.py		threeway_ConvLSTM.py