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adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

adversarial_metric_attack

The code of "Adversarial Metric Attack for Person Re-identification"

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

backdoor

Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

blog_on_vue

Blog develope using vuejs.

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep_metric_learning

Deep metric learning methods implemented in Chainer

dish_reg

ee-master

ee-pc-master

fine-pruning-defense

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)

fruit_identification

Fruit Identification using deep learning

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

machinelearning

Notes & Code here.

notes

study repo. demos mostly.

person-reid_gan

ICCV2017 Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

pgd-pytorch

A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"

program

research-ms-loss

MS-Loss: Multi-Similarity Loss for Deep Metric Learning

tableware

tableware_program

turn-tap

TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

web

xavierxhq.github.io

Owner Blog

xlearn

Transfer Learning Library