Pinned Repositories
aurora
Mirror of Apache Aurora
autograd
Efficiently computes derivatives of numpy code.
CaRBM
Code to accompany the paper "Cardinality Restricted Boltzmann Machines, NIPS 2012".
cleverhans
A library for benchmarking vulnerability to adversarial examples
graph-gen
k-stochastic-neighbor
Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
Kayak
Kayak is a library for automatic differentiation with applications to deep neural networks.
mlforsystems.github.io
Workshop on ML for Systems at NIPS 2018 Date December 8th, 2018
nnet
A general feed-forward neural network.
tensorflow-forward-ad
Forward-mode Automatic Differentiation for TensorFlow
kswersky's Repositories
kswersky/k-stochastic-neighbor
Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
kswersky/CaRBM
Code to accompany the paper "Cardinality Restricted Boltzmann Machines, NIPS 2012".
kswersky/nnet
A general feed-forward neural network.
kswersky/aurora
Mirror of Apache Aurora
kswersky/autograd
Efficiently computes derivatives of numpy code.
kswersky/cleverhans
A library for benchmarking vulnerability to adversarial examples
kswersky/graph-gen
kswersky/Kayak
Kayak is a library for automatic differentiation with applications to deep neural networks.
kswersky/mlforsystems.github.io
Workshop on ML for Systems at NIPS 2018 Date December 8th, 2018
kswersky/tensorflow-forward-ad
Forward-mode Automatic Differentiation for TensorFlow
kswersky/torch7