elulue Goto Github PK
Name: elulue
Type: User
Location: Shanghai, China
Name: elulue
Type: User
Location: Shanghai, China
Linkedin Scraper using Selenium Web Driver, Chromium headless, Docker and Scrapy
A long term short term memory recurrent neural network to predict stock data time series
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Code for Machine Learning for Algorithmic Trading, 2nd edition.
《精通Python设计模式》2015年1月
Code base for the meta-labeling papers published with the Journal of Financial Data Science
Models and examples built with TensorFlow
Repository for competitive multi-agent environments
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
Recognition of product positions on shelf images using neural networks
pigface train and detection
Modeling high-frequency limit order book dynamics with support vector machines
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
京东JDD猪脸识别比赛
Visual scraping for Scrapy
StarCraft II Learning Environment
Python script and Documents
A collection of design patterns/idioms in Python
raven is a Linkedin information gathering tool that can be used by pentesters to gather information about an organization employees using Linkedin.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Refs.cn 原型设计元件库,基于Axure RP 8,支持 Android、Apple、Windows、微信,移动、桌面平台的应用和网站原型设计。
Multifarious Scrapy examples. Spiders for alexa / amazon / douban / douyu / github / linkedin etc.
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
stock_predict_with_LSTM
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Stock price prediction with LSTMs in TensorFlow
简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.