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defense-vae

Implementation for "Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks"

defensegan

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

dpatch

An adversarial attack on object detectors

extract-caffe-params

extract caffe model's parameters to numpy array, and write them to files

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn

Faster R-CNN

flow-guided-feature-aggregation

Flow-Guided Feature Aggregation for Video Object Detection

gd-uap

Generalized Data-free Universal Adversarial Perturbations

generative_adversarial_perturbations

Generative Adversarial Perturbations (CVPR 2018)

geoprivacyalbum

github-chinese-top-charts

:cn: GitHub中文排行榜，帮助你发现高分优秀中文项目、更高效地吸收国人的优秀经验成果；榜单每周更新一次，敬请关注！（最近更新于10月9日，上班快乐 :tada:）

harmonyos

A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。

how-to-download-unrealengine_4.24

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

keras-applications

Reference implementations of popular deep learning models.

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

labview-machine-learning

labVIEW做机器学习的实例

leetcode

LeetCode Problems' Solutions

leetcode-1

🎓Leetcode solutions in Python 📚

leetcode-2

Python & JAVA Solutions for Leetcode

leetcode-3

LeetCode In Action - Python (705+)

leetcode-4

正确的姿势，学习的态度来刷 LeetCode：高效的代码、简洁的注释、精炼的总结。

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-with-python

内容摘自'**大学MOOC'

machinelearning

一些关于机器学习的学习资料与研究介绍

machinelearningblueprints

Python 机器学习实践指南，代码和分享

magnet

MagNet: a Two-Pronged Defense against Adversarial Examples

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.