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Commit 6d9ea17d authored by Bing Gong's avatar Bing Gong
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clean up README #2

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...@@ -61,7 +61,7 @@ The details can be found [name_convention](docs/structure_name_convention.md) ...@@ -61,7 +61,7 @@ The details can be found [name_convention](docs/structure_name_convention.md)
### Benchmarking architectures: ### Benchmarking architectures:
- convLSTM: [paper](https://papers.nips.cc/paper/5955-convolutional-lstm-network-a-machine-learning-approach-for-precipitation-nowcasting.pdf),[code])https://github.com/loliverhennigh/Convolutional-LSTM-in-Tensorflow) - convLSTM: [paper](https://papers.nips.cc/paper/5955-convolutional-lstm-network-a-machine-learning-approach-for-precipitation-nowcasting.pdf),[code](https://github.com/loliverhennigh/Convolutional-LSTM-in-Tensorflow)
- Variational Autoencoder:[paper](https://arxiv.org/pdf/1312.6114.pdf) - Variational Autoencoder:[paper](https://arxiv.org/pdf/1312.6114.pdf)
- Stochastic Adversarial Video Prediction (SAVP): [paper](https://arxiv.org/pdf/1804.01523.pdf),[code](https://github.com/alexlee-gk/video_prediction) - Stochastic Adversarial Video Prediction (SAVP): [paper](https://arxiv.org/pdf/1804.01523.pdf),[code](https://github.com/alexlee-gk/video_prediction)
- Motion and Content Network (MCnet): [paper](https://arxiv.org/pdf/1706.08033.pdf), [code](https://github.com/rubenvillegas/iclr2017mcnet) - Motion and Content Network (MCnet): [paper](https://arxiv.org/pdf/1706.08033.pdf), [code](https://github.com/rubenvillegas/iclr2017mcnet)
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