bsspirit
张丹,R语言专家,量化投资实践者,微软MVP。精通R ,Java, Nodejs 编程,获得10项SUN及IBM技术认证。著有《R的极客理想-工具篇》、《R的极客理想-高级开发篇》,合著《数据实践之美》,新书《R的极客理想-量化投资篇》。
青萌数海Beijing
Pinned Repositories
angular-basic
Angularjs + Express3 + Bootstrap3
async_demo
A demo for async
book-r1
R的极客理想-工具篇
book-r3
R的极客理想-量化投资篇
chat-websocket
a very simple chat demo using websocket
domain
domain for website
maven_hadoop_template
maven_mahout_template
nodejs-crypto
crypto使用案例
nodejs-demo
nodejs-demo
bsspirit's Repositories
bsspirit/nodejs-demo
nodejs-demo
bsspirit/book-r3
R的极客理想-量化投资篇
bsspirit/book-r1
R的极客理想-工具篇
bsspirit/infect
用R语言解读传染病传播模型
bsspirit/prolog-learning
Prolog语言知识推理系列文章
bsspirit/quanteda
量化文本分析
bsspirit/truffle-demo
Truffle以太坊Dapp开发框架
bsspirit/encrypt
R语言中的密码学
bsspirit/ml
R语言中的机器学习
bsspirit/demoml
demoml
bsspirit/knowledge-graph
知识图谱-概念与技术
bsspirit/KnowledgeGraphCourse
东南大学《知识图谱》研究生课程
bsspirit/r-string-match
用R语言进行字符串匹配
bsspirit/rRulesEngine
一款基于R语言的规则引擎
bsspirit/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
bsspirit/AnomalyDetection
Anomaly Detection with R
bsspirit/CLUEDatasetSearch
搜索所有中文NLP数据集,附常用英文NLP数据集
bsspirit/EpiModel-Gallery
Gallery of Network-Based Epidemic Model Templates for EpiModel
bsspirit/graph
图算法
bsspirit/learn-prolog-now-exercises
My solutions to the exercises and practical sessions of the book 'Learn Prolog Now!' by Patrick Blackburn, Johan Bos, and Kristina Striegnitz.
bsspirit/MasterBitcoin2CN
《精通比特币》第二版 区块链研究社 云天明联合出品
bsspirit/muti
Estimates the mutual information contained in 2 vectors.
bsspirit/n8n
Free and open fair-code licensed node based Workflow Automation Tool. Easily automate tasks across different services.
bsspirit/neural_networks
神经网络模型
bsspirit/new_document
文档革命
bsspirit/nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
bsspirit/QASystemOnMedicalKG
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。
bsspirit/qmsh-website
北京青萌数海科技有限公司
bsspirit/QuantFinance
bsspirit/the-algorithm
Source code for Twitter's Recommendation Algorithm