Beast code in Giters

Kevin Swersky's repositories

Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".

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Code to accompany the paper "Cardinality Restricted Boltzmann Machines, NIPS 2012".

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A general feed-forward neural network.

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Mirror of Apache Aurora

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Efficiently computes derivatives of numpy code.

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A library for benchmarking vulnerability to adversarial examples

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Kayak is a library for automatic differentiation with applications to deep neural networks.

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Workshop on ML for Systems at NIPS 2018 Date December 8th, 2018

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Forward-mode Automatic Differentiation for TensorFlow

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