bigmoon0410's Stars
App-vNext/Polly
Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+.
NotFound9/interviewGuide
推荐免费ChatGPT网站:https://www.lintcode.com/chat-gpt?utm_source=tf-github-NotFound 点此领取7天VIP会员:https://www.lintcode.com/vip/activity/z1qgMH 《大厂面试指北》——包括Java基础、JVM、数据库、mysql、redis、计算机网络、算法、数据结构、操作系统、设计模式、系统设计、框架原理。
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
wangzheng0822/algo
数据结构和算法必知必会的50个代码实现
CyC2018/Markdown-Resume
⭐️ Markdown 简历模版
ruanyf/weekly
科技爱好者周刊,每周五发布
labuladong/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
ZhongFuCheng3y/athena
Java后端知识图谱🔥 帮助Java初学者成长
nunofachada/generateData
Generates 2D data clusters
gongsf-neu/EDMStream
anrputina/ods-anomalydetection
Custom implementation of the DenStream algorithm in Python. The purpose is to detect anomalies applying the algorithm on Telemetry data coming from the devices.
waylongo/denstream
Python implementation of DenStream clustering
brandinjefferson/DStreamClustering
ogeagla/dstream
A D-Stream clustering algorithm implementation in Python
onofricamila/MOAOnlineClustering
CluStream and DenStream MOA stream clustering algorithms are run with CSV data. Their results, are stored in CSV files. Their configuration is also stored (in a json file), to understand how the parameters influence on the result.
issamemari/DenStream
Python implementation of the data stream clustering algorithm "DenStream"
linyiqun/DataMiningAlgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
XDU-CS/ESA-Stream
Waikato/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
learnedsystems/RadixSpline
A Single-Pass Learned Index
bchapuis/awesome-spatial-data
A list of awesome spatial datasets.
RHyde67/CEDAS
CEDAS: Clustering of Evolving Data-streams into Arbitrary Shapes
HK-Zhang/wheats
ML:Clique Cluster-Java
datawhalechina/pumpkin-book
《机器学习》(西瓜书)公式详解
LasseRegin/SVM-w-SMO
Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
ajtulloch/svmpy
Basic soft-margin kernel SVM implementation in Python
stober/svm
Support Vector Machines in Python
xinlianghu/svm
用Python实现SVM多分类器