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chainervr's Introduction

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 .
  1. (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

Awesome References

Author

Yuki Furuta <[email protected]>

chainervr's People

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