mikawakim

mikawakim's Stars

• zhangkaitao/shiro-example

  跟我学Shiro（我的公众号：kaitao-1234567，我的新书：《亿级流量网站架构核心技术》）

  Language:HTML4.8k3.9k

• harry159821/XiamiForLinuxProject

  Xiami For Linux Project

  Language:Python21881

• Swapnil52/Blockchain

  This client-server pair serves as a demonstration of the concept of Blockchain, and has been made as a part of my internship at Greensill Capital (UK).

  Language:Java216

• Will1229/Blockchain

  A simple implementation of blockchain in java

  Language:Java294107

• JoyXieIsCool/BlockChain

  Language:Java66

• dvf/blockchain

  A simple Blockchain in Python

  Language:C#7.8k2.7k

• yeasy/blockchain_guide

  Introduce blockchain related technologies, from theory to practice with bitcoin, ethereum and hyperledger.

  Language:Go6.8k1.9k

• blockchain-certificates/cert-issuer

  Issues Blockcerts using either the Bitcoin or Ethereum blockchain

  Language:Python412208

• lhartikk/naivechain

  A blockchain implementation in 200 lines of code

  Language:JavaScript5.3k1.1k

• caicloud/tensorflow-tutorial

  Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

  Language:Jupyter Notebook2.9k2.1k

• littlecodersh/ItChat

  A complete and graceful API for Wechat. 微信个人号接口、微信机器人及命令行微信，三十行即可自定义个人号机器人。

  Language:Python25.6k5.6k

• kimber-chen/Tensorflow-for-stock-prediction

  Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

  Language:Jupyter Notebook465226

• dzitkowskik/StockPredictionRNN

  High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

  Language:Python702277

• debanjanmahata/icdm2017

  Repository for ICDM (Industrial Conference on Data Mining) 2017 submission.

  3721

• irfanICMLL/EMM-for-stock-prediction

  We propose a model to analyze sentiment of online stock forum and use the information to predict stock volatility in the Chinese market. By generating a sentimental dictionary, we analyze the sentimental tendencies of each post as sentiment indicators. Such sentimental information will be fused with market data for prediction based on Recurrent Neural Networks (RNNs). We manually labeled the sentiment of forum post and make the data public available for research. Empirical evidence shows that 8 of the 10 stocks perform better with sentimental indicators.

  Language:Python6218