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 ### 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)
 - 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)