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阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Mimicking symmetric cryptosystem using adversarial networks to show that neural nets are able to learn to communicate with each other securely
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
根据股票帐号,自动下载www.cninfo.com.上对应的企业年报(pdf格式),然后将这些pdf格式的文件转换为txt文件,然后从中提取出有用的信息,进行数据分析和图标展示
抓取上海证券交易所股票分红信息
Contractive Auto-Encoders in Numpy
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
自己动手做聊天机器人教程
Daily Stock Forecasts using Machine Learning & Python
《深度学习理论与实战:基础篇》代码
Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.
爬取东方财富股吧沪深股票文章、评论及发言用户信息
A Java package to automatically detect anomalies in large scale time-series data
Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序
爬取东方财富网股票信息
Holt-Winters Triple Exponential Smoothing Algorithm
Learn graph patterns for recommender systems based on a GNN.
1st place solution
General code to convert a trained keras model into an inference tensorflow model
基于蒙特卡洛树(MCTS)的多维监控异常根因分析
Highly Scalable Grid-Density Clustering Algorithm for Spark MLLib
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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。
Classic papers and resources on recommendation
An end-to-end machine learning and data mining framework on Hadoop
This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.
Spark implementation of Fayyad's discretizer based on Minimum Description Length Principle (MDLP)
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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.