rslu2000 Goto Github PK

grs

📈 台灣上市上櫃股票價格擷取（Fetch Taiwan Stock Exchange data）含即時盤、台灣時間轉換、開休市判斷。

hashcash-python

healthwatcher

Android Application that can estimate Heart rate, Blood pressure, Respiration rate and Oxygen rate from only the camera of the mobile

heartrate

An Android App used to monitor heart rate using device camera and flashlight

hello-ci-workflow

huobi-autotrading

火币网自动化交易工具

huobi_api

hyperlandmark

Deep Learning Based Free Mobile Real-Time Face Landmark Detector.

hyperledger-fabric-binary

hyperledger0.6-sample

ieccs

Is global warming caused by humans? The Consensus Project collected thousands of peer-reviewed publications related to global warming and manually labeled them as "Skeptic", "Neutral" or "Pro" (www.skepticalscience.com/tcp.php). They arguably concluded that 97% of the papers upto 2011 agree that global warming is real and due to human factors. Their data is publicly available and can be explored through a nice online visualisation: www.skepticalscience.com/tcp.php What happened after 2011? We don't know, because there is no data! Labelling thousands of articles by hand is expensive and time consuming. However, labelling documents is a task that can be automated. It is called "document classification" in Natural Language Processing (NLP) and it is typically implemented using supervised classification, a machine learning technique. One part of this project is therefore building a document classification system, trained on the data from the Consensus Project, predicting the labels "Skeptic", "Neutral" or "Pro". This task has in fact a lot in common with another popular NLP task: opinion mining/sentiment analysis. Such a classifier requires features extracted from the text. How do we get the abstracts, or even better, the full-text of articles? This involves searching for articles (search & information retrieval), downloading the source documents (crawling websites) and filtering out the text (text extraction from HTML or PDF). Data collection therefore forms a second major part of this project. The third part of this project concerns interactive visualisation. The visualisation mentioned above is nice, but so much more is possible. Provided that we can also extract the affiliation of authors, we can plot the distribution of climate skepticism on a world map, contrasting e.g. USA vs. Europe. What if we take the impact factors of journals into account? Is there more or less skepticism in high-impact journals (e.g. Nature, Science) then in low-impact journals (Chinese Journal of Oceanology and Limnology). Many interesting options to explore (for some inspiration, see www.creativebloq.com/design-tools/data-visualization-712402).

ipaplistnewton

japronto

Screaming-fast Python 3.5+ web micro-framework integrated with pipelining HTTP server based on uvloop and picohttpparser.

javascript30

30 Day Vanilla JS Challenge

jsroom

jsrsasign

The 'jsrsasign' (RSA-Sign JavaScript Library) is an opensource free cryptography library supporting RSA/RSAPSS/ECDSA/DSA signing/validation, ASN.1, PKCS#1/5/8 private/public key, X.509 certificate, CRL, OCSP, CMS SignedData, TimeStamp, CAdES JSON Web Signature/Token in pure JavaScript.

learn-chaincode

Learn how to write chaincode.

learn-git-in-30-days

這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】，歡迎大家 fork 我，如果有看見任何文字勘誤，也歡迎利用 pull request 來通知我修正，謝謝！

litecoin

litecoin.org

Litecoin.org Project website

lnd

Lightning Network Daemon ⚡️

machine-learning-python

機器學習: Python

mall

mall项目是一套电商系统，包括前台商城系统及后台管理系统，基于SpringBoot+MyBatis实现，采用Docker容器化部署。 前台商城系统包含首页门户、商品推荐、商品搜索、商品展示、购物车、订单流程、会员中心、客户服务、帮助中心等模块。 后台管理系统包含商品管理、订单管理、会员管理、促销管理、运营管理、内容管理、统计报表、财务管理、权限管理、设置等模块。

marbles

IBM Blockchain - Marbles Demo

mini_grpc_blockchain

Blockchain practice of python

mini_p2p

mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

money-legos

💰One stop shop for Ethereum ABIs, addresses, and Solidity interfaces!

multi-label-soft-f1

Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0

multi-sig-wallet