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  1. A recurrent neural network for generating little stories about images

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  2. Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

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  3. Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

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  4. Code and models from the paper "Layer Normalization"

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  5. A bare-bones NumPy implementation of "Multimodal Neural Language Models" (Kiros et al, ICML 2014)

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