Pinned Repositories
adv_topic_data_security
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.
Aegon007.github.io
awesome-domain-adaptation
A collection of AWESOME things about domian adaptation
bitcoin_tools
Python Bitcoin tools
Blog-Back-Up
博客相关文件存储
caffe
Caffe: a fast open framework for deep learning.
CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Aegon007's Repositories
Aegon007/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.
Aegon007/bitcoin_tools
Python Bitcoin tools
Aegon007/Blog-Back-Up
博客相关文件存储
Aegon007/caffe
Caffe: a fast open framework for deep learning.
Aegon007/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Aegon007/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Aegon007/DANN-keras
A simple implementation of domain adversarial training with GAN loss in Keras
Aegon007/DAOSL
Implementation of Domain Adaption in One-Shot Learning
Aegon007/df
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
Aegon007/DLWF
Source code for our NDSS'18 paper "Automated Website Fingerprinting through Deep Learning"
Aegon007/ebook-1
A collection of classic computer science books from Internet
Aegon007/ensemble-adv-training
Ensemble Adversarial Training on MNIST
Aegon007/FewShotLearning
Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"
Aegon007/hangzhou_house_knowledge
2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
Aegon007/hilbertcurve
maps between 1-D space filling hilbert curve and N-D coordinates
Aegon007/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Aegon007/LightNet
Efficient, transparent deep learning in hundreds of lines of code.
Aegon007/lstm
Minimal, clean example of lstm neural network training in python, for learning purposes.
Aegon007/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Aegon007/MAML-TensorFlow
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Aegon007/mongoose
Prime+Probe, Flush+Reload and other cache-based attack detector using hardware performance counters
Aegon007/network_fingerprint
Aegon007/neuroNetworkPrac
write a neuron network from scratch for study
Aegon007/project1
data security class
Aegon007/tensorflow-maml
TensorFlow 2.0 implementation of MAML.
Aegon007/tensorflow-triplet-loss
Implementation of triplet loss in TensorFlow
Aegon007/textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.