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followers: 8.0 following: 1.0 repos: 36.0 gists: 0.0

Name: George Studying

Type: User

Company: Tsinghua University

Bio: Ph.D. Student @ Tsinghua University. My research focuses on the AI security, especially the backdoor learning, adversarial learning, and data privacy.

Location: China

George Studying's Projects

advbox icon 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.

adversarial_spatial icon adversarial_spatial

Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dtreeviz icon dtreeviz

A python machine learning library for structured data.

fast_adversarial icon fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

foolbox icon foolbox

Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …

gcforest icon gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

mnist-baselines icon mnist-baselines

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

prml icon prml

PRML algorithms implemented in Python

prophet icon prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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