angusg Goto Github PK

angusg.github.io

personal blog

arm-m4f-cwt-mexh

Scalogram on ARM Cortex-M4F for temporal localization of 50-60kHz frequencies.

att-hackathon

FRDM-K64F ethernet gateway sends data to nodeRED service within IBM Bluemix

batch-norm-vulnerability

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

binarynet

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

bn-adversarial-spheres

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/

bn-advex-zhang-fixup-fairseq

NMT Fixup vs Layer norm robustness

cifar10_challenge

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

ciona.github.io

Jekyll StellarEnhanced theme

cleverhans

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

cleverhans-attacking-bnns

Source for paper "Attacking Binarized Neural Networks"

deep-learning-dreissenid

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

echofilter

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

edas

Predict seizures! Bivariate features from intracranial EEG classified with libSVM/GNU Octave

ffcv

Android Studio UVC Webcam

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)

groundtruth_webapp

Web app for groundtruthing ML datasets

input-compression-bound-study

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

lastpass-cli

LastPass command line interface tool

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

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.

models

Models built with TensorFlow

mqx_lab

K60N512 MQX Project

neo-scripts

Miscellaneous useful files for udoo neo

plstm