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fine-pruning-defense

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)

fodlam

first-order deep learning accelerator model

foolsgold

A sybil-resilient distributed learning protocol.

gluon-tutorials-zh

通过MXNet/Gluon来动手学习深度学习

grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

hybridbinarynetworks-wacv18

Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory - WACV18

hyperpower

Hardware-aware Neural Network (Keras+TensorFlow) Hyper-parameter Optimization (Bayesian optimization)

instance_dataset_gen

invertinggradients

Algorithms to recover input data from their gradient signal through a neural network

leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3

linning.github.io

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

making-pate-bidirecitonally-private

A step-by-step guide demonstrating how the PATE Framework works and how to make it bidirectionally private by adding an encryption layer.

memcnn

PyTorch Framework for Developing Memory Efficient Deep Invertible Networks

metaflow_sysml19

Repository for SysML19 Artifacts Evaluation

ml-model-remember

Code for Machine Learning Models that Remember Too Much (in CCS 2017)

mlcourse_open

OpenDataScience Machine Learning course. Both in English and Russian

model-inversion-attack

Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

model-tools

Tools for computing model parameters and FLOPs.

modelpoisoning

Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470

models

Models built with TensorFlow

morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure

multi-gpu-demo

navbot

Using RGB Image as Visual Input for Mapless Robot Navigation

netadapt

Implementation of NetAdapt

network-slimming

Network Slimming (Pytorch)

neuralpower

The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks

nn_dataflow

Explore the energy-efficient dataflow scheduling for neural networks.

nn_modularity