Mean TeacherA state-of-the-art semi-supervised method for image recognition
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Learning2runOur NIPS 2017: Learning to Run source code
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Img2imgganImplementation of the paper : "Toward Multimodal Image-to-Image Translation"
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Nips2017A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017
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Prototypical NetworksCode for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
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HardnetHardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
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large-scale-OT-mapping-TFTensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)
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deep-stegGlobal NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"
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pytorch-deep-setsPyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)
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pred-rnnPredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
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nips rlCode for NIPS 2017 learning to run challenge
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AttentionalpoolingactionCode/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"
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Dynamic routing between capsulesImplementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017
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Deep SteganographyHiding Images within other images using Deep Learning
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SpherenetImplementation for <Deep Hyperspherical Learning> in NIPS'17.
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Half SizeCode for "Effective Dimensionality Reduction for Word Embeddings".
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Run Skeleton RunReason8.ai PyTorch solution for NIPS RL 2017 challenge
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NtpEnd-to-End Differentiable Proving
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