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advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarialdnn-playground

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

ai-practice-tensorflow-notes

人工智能实践：Tensorflow笔记

aps-tbs

具备完整的界面功能的接口测试工具系统，同时支持HTTP协议的接口MOCK模拟和接口请求

beginning-python-3ed

Source code for 'Beginning Python' by Magnus Lie Hetland

blackboxattackdnn

Python implementation of a practical black-box attack against machine learning.

boatattack

Demo Project using the Universal RP from Unity3D

cleverhans

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

cnn_modulation

codinginterviewchinese2

《剑指Offer》第二版源代码

convnets-keras

cpp_primer_answers

《C++ Primer》第五版中文版习题答案

csnotesolarzhou

一些面试用的计算机基础知识，算法以及面经。

dataset

Open RadioML Synthetic Benchmark Dataset

deep-architectures-for-modulation-recognition

deep learning implement for modulation classification ,codes for paper <Deep Architectures for Modulation Recognition>

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

domain_transfer_mnist

examples

Useful RadioML Examples

fgsm-keras

Implemention of Fast Gradient Sign Method for generating adversarial examples in Keras

gan-intro

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

machinelearning

机器学习研究

mbrdl

Repository for reproducing `Model-Based Robust Deep Learning`

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mnist_challenge

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

modulation-classification

Fully Connected Neural Network and CNN Models for Modulation Classification on a synthetic dataset, generated with GNU Radio, consisting of 10 modulations. This is a variable-SNR dataset with moderate LO drift, light fading, and numerous different labeled SNR increments for use in measuring performance across different signal and noise power scenarios.

munit

Multimodal Unsupervised Image-to-Image Translation

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

paper-with-code-of-wireless-communication-based-on-dl

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

perturbation_learning

Learning perturbation sets for robust machine learning