ianchen88 Goto Github PK

attack-agnostic-adversarial-attack-detection

Support repository for the paper "Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning", ICPR 2020, M Watson, N Al Moubayed.

awesome-haskell-deep-learning

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

baggingcertifydatapoisoning

From AAAI paper

basic-multi-task-learning

This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow

bookshelf

:books: books

cavia

Code for "Fast Context Adaptation via Meta-Learning"

celan

This repository includes the source code for Entity Linking on Chinese Microblogs via Deep Neural Network

cl-har

cocoa

COCOA: Cross Modality Contrastive Learning for Sensor Data

comp2300-project

Final Project for Comp2300

controllable-network-data-balancing-with-gans

Controllable Network Data Balancing with GANs. CN Contact: Fares Meghdouri

counterfeit-detection

cross-stitch-networks-for-multi-task-learning

A Tensorflow implementation of the paper arXiv:1604.03539

deep-soli

Gesture Recognition Using Neural Networks with Google's Project Soli Sensor

deepdig

This repository contains the code for Characterizing the Decision Boundary of Deep Neural Networks

deepinterests

深度有趣

deeplearning

deepsec

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

deepsense

Deepsense: a unified deep learning framework for time-series mobile sensing data processing.

differential-privacy-vs-fairness

Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19

dpdatasharing

drl

Deep Reinforcement Learning

evaluatingdpml

extensive_evaluations

Experiments evaluating 10+ ml models in anomaly detection cases for continuous and implicit authentication using the HMOG data set.

falsifcpsml

Compositional falsification framework for cyber-pysical systems with machine learning components

federated-averaging-tutorials

A set of tutorials to implement the Federated Averaging algorithm on TensorFlow.

geoparsepy

geoparsepy is a Python geoparsing library that will extract and disambiguate locations from text. It uses a local OpenStreetMap database which allows very high and unlimited geoparsing throughput, unlike approaches that use a third-party geocoding service (e.g. Google Geocoding API). this repository holds Python examples to use the PyPI library.

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-neural-network-note

A blog for understanding graph neural network

har

Human Activity Recognition Data