Chainer Video Representation

Chainer implementation of Networks for Learning Video Representations

Contents

Unsupervised Learning of Video Representations using LSTMs

Located at models/unsupervised_videos.

Srivastava, Nitish, Elman Mansimov, and Ruslan Salakhudinov.
Unsupervised learning of video representations using lstms."
International conference on machine learning. 2015.

See https://github.com/emansim/unsupervised-videos for the original implementation.

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

Located at models/conv_lstm.

Xingjian, S. H. I., et al.
"Convolutional LSTM network: A machine learning approach for precipitation nowcasting."
Advances in neural information processing systems. 2015.

Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution

Located at models/deep_episodic_memory.

Rothfuss, Jonas, et al.
"Deep Episodic Memory: Encoding, Recalling, and Predicting Episodic Experiences for Robot Action Execution."
arXiv preprint arXiv:1801.04134 (2018).

Install

1. Clone this repository
2. Install this package using pip

cd chainervr
pip install .

3. (Optional) If you plan to use with GPU, please install appropriate cupy package.

pip install cupy-cuda91  # for CUDA 9.1
# or
pip install cupy-cuda92  # for CUDA 9.2
# and so on.

Examples

• Reconstruction and Prediction of Moving Mnist Dataset

Awesome References

• Lecture CS231n at Stanford Univ.
• Padding of ConvNet in Tensorflow

Author

Yuki Furuta <furushchev@jsk.imi.i.u-tokyo.ac.jp>