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Name: ved
Type: User
Name: ved
Type: User
FasterCap is a powerful three- and two-dimensional capactiance extraction program.
FastHenry is the premium inductance solver originally developed at M.I.T. on Unix platform. A de-facto golden reference standard, FastHenry extracts the inductances and resistances of any arbitrary 3D conductive geometry by solving the Maxwell equations in quasi-static regime. For more information, visit our website.
FastImp is a wideband impedance extraction program for 3D geometries
FastModel is a front- and back- end text modeling and visualization software for FastCap2 and FastHenry2, and to some extent for FasterCap.
A lightweight C++ machine learning library for embedded electronics and robotics.
Analyze stocks like Warren Buffet and Benjamin Graham
This package can scrape financial data from Yahoo Finance for multiple companies at once. This includes the ratios, balance sheets, income statements, cashflows and stock data.
Geometry is a C++ templated library for 2D and 3D non-manifold operations.
Algorithms Implemented in GoLang
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat
Python SDK for IEX Cloud
IEX Cloud open source API wrapper
Code to reproduce "imagenet in 18 minutes" experiments
Java/MySQL live algorithmic trading using Interactive Brokers API
Python code for Udacity's "Intro to Machine Learning" course
Back testing application to analyze the profitability of weekly Iron Condors using Z-Scores to set the short strike prices.
All Algorithms implemented in Java
Knapsack Problem During My Job Search Process
Different datasets for developing and testing keyword extraction algorithms
Shows how to use a Lambda function to store data in an RDS instance
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)
Becoming better at data science every day
Lexbor is development of an open source HTML Renderer library. http://lexbor.com
LinAlg is a C++ templated library for numerical algebra. LinAlg is loosely based on TNT from NIST (see http://math.nist.gov/tnt/).
Listed Volatility and Variance Derivatives (Wiley Finance)
Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Automatically exported from code.google.com/p/maygard
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.