AngusG

tensorflow-xnor-bnn

BinaryNets in TensorFlow with XNOR GEMM op

cleverhans-attacking-bnns

Source for paper "Attacking Binarized Neural Networks"

truth-and-crop

Application for ground-truthing semantic segmentation datasets in PyQt4/OpenCV.

deep-learning-dreissenid

Source code for reproducing "Predicting Dreissenid Mussel Abundance using Deep Learning" by Galloway et al..

bn-advex-zhang-fixup

Code for ResNet-Fixup experiments as part of "Batch Norm is a Cause of Adversarial Vulnerability" presented at http://deep-phenomena.org/

tflite-android-black-box-attacks

machine-vision-image-processing

Jupyter Notebooks introducing some classic image processing functionality in numpy, skimage, and scipy for industrial "small data" problems where deep learning is less well suited.

batch-norm-vulnerability

Master source code repo for "Batch Normalization is a Cause of Adversarial Vulnerability"

bn-advex-zhang-fixup-fairseq

NMT Fixup vs Layer norm robustness

input-compression-bound-study

Code for "Bounding generalization error with input compression: An empirical study with infinite-width networks"

angusg.github.io

personal blog

BinaryNet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

bn-adversarial-spheres

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

echofilter

A project to filter out echosounder noise by identifying the ocean floor and noisy entrained air at the ocean surface

foolbox

Python toolbox to create adversarial examples that fool neural networks

gaussian-information-bottleneck

Reproduces Figure 1 of Chechik et al., 2005

graph_attention_pool

Attention over nodes in Graph Neural Networks using PyTorch (accepted to NeurIPS 2019)

libuavcan

Portable reference implementation of the UAVCAN protocol stack in C++ for embedded systems and Linux.

LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

LSTM_tsc

An LSTM for time-series classification

models

Models built with TensorFlow

PLSTM

public_plstm

Phased LSTM

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-fcn-ciona17

Deep FCN Models for Semantic Segmentation of Aquatic Invasive Species in TensorFlow 1.x

tensorpack

Neural Network Toolbox on TensorFlow

vscp

VSCP (Very Simple Control Protocol) IoT/m2m framework