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10-days-of-statistics-challenges

10 Days of Statistics Challenges at HackerRank

acme.sh

A pure Unix shell script implementing ACME client protocol

ai-for-malware-analysis-

这是作者恶意代码分析、网络安全、系统安全等系列教程，主要是通过机器学习、人工智能和深度学习来分析恶意代码的在线笔记。希望对您有所帮助，学无止境，一起加油。

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

ccf-csp-and-pat-solution

CCF CSP和PAT考试题解（使用C++11语法）

cloud

cpp-primer-plus

C++ Primer Plus 6th Answers

cppprimerplus-six-

C++PrimerPlus(第6版)中文版源码

csdnblog-security-based

为了更好地管理博客文章，分享更好的知识，该系列资源为作者CSDN博客的备份文件。本资源为网络安全自学篇，包括作者安全工具利用、Web渗透、系统安全、CVE漏洞复现、安全论文及会议等知识，希望对您有所帮助！一起加油。

ctf-tools

CTF 工具集合

ctf-wiki

CTF Wiki Online. Come and join us, we need you!

ctftraining

CTF Training 经典赛题复现环境

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，50余万字。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

deeplearningimplementations

Implementation of recent Deep Learning papers

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-mura-pytorch

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

elasticsearch-definitive-guide

The Definitive Guide to Elasticsearch

facerecognition

利用OpenCV、CNN进行人脸识别

floydwarshall

floyd warshall is an algorithm for finding shortest paths in a weighted graph with positive or negative edge weights

hackerrank

My HackerRank solutions

hackerrank_solutions

This repository contains my solutions to easy and medium questions in Hackerrank. Hope that helps.

hackerrankpractice

170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL

hnu-discretemathematics-experiment

湖南大学离散数学实验

interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

leetcode

LeetCode Problems' Solutions

luna16

LUNA16 Lung Nodule Analysis - NWI-IMC037 Final Project

luna16-lung-nodule-analysis-2016-challenge

LUNA16-Lung-Nodule-Analysis-2016-Challenge

machinelearning_ng_python

吴恩达机器学习算法Python实现，附详细的代码注释。

mura-stanford

A PyTorch implementation of 169 layer DenseNet model on MURA dataset.

mura-v1.1-pytorch-