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100 Days of ML Coding
A Modelica VSC-HVDC Average Value Model Implementation - Modelica models presented in a paper of the 12th International Modelica Conference.
algorithm introduced in some programming books
We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.
This project analyzes a time-series dataset using R-Studio for different types of anomalies to study trends in electricity consumption.
This is the code for the work "Energy Theft Pinpointing through Correlation Analysis of Master and Individual Meter Readings".
coursera吴恩达机器学习课程作业自写Python版本+Matlab原版
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论(STAT 157)”教材。
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
ANNs for ElectricityTheft detect
Electricity-Theft Detection in Smart Grids
casual
HanserModelica is a Modelica open source educational library on electrical engineering with a particaular focus on polyphase electrical machines
以撸代码的形式学习Python
个人使用jupyter notebook整理的peter的《机器学习实战》代码,使其更有层次感,更加连贯,也加了一些自己的修改,以及注释
My blogs and code for machine learning. http://cnblogs.com/pinard
matplotlib: plotting with Python
MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave
Implementations of the machine learning algorithm with Python and numpy
Minimal and clean examples of machine learning algorithms implementations
吴恩达机器学习课程的讲义,欢迎大家一起学习
Non-Intrusive Load Monitoring Toolkit (nilmtk)
Machine learning, in numpy
Python - 100天从新手到大师
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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.