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mbrace icon mbrace

A distributed computation & big data analytics framework for .NET

meteor icon meteor

Meteor, an ultra-simple, database-everywhere, data-on-the-wire, pure-Javascript web framework.

metricano icon metricano

Agent-based F# library for collecting, aggregating and publishing metrics (e.g. to Amazon CloudWatch)

metrics.net icon metrics.net

The Metrics.NET library provides a way of instrumenting applications with custom metrics (timers, histograms, counters etc) that can be reported in various ways and can provide insights on what is happening inside a running application.

metrics.net.flotvisualization icon metrics.net.flotvisualization

JavaScript visualization app for Metrics.NET (https://github.com/etishor/Metrics.NET) based on the excelent charting capabilities of FlotCharts (http://www.flotcharts.org/)

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

mm-chanshelton icon mm-chanshelton

A study of the Chan and Shelton learning model for market making

mpld3 icon mpld3

D3 Renderings of Matplotlib Graphics

node-webkit icon node-webkit

Call all Node.js modules directly from DOM and enable a new way of writing applications with all Web technologies.

numl icon numl

Machine Learning for .NET

orleans icon orleans

Repo for Orleans - Distributed Actor Model

pattern_classification icon pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

projectscaffold icon projectscaffold

A prototypical .NET solution (file system layout and tooling), recommended by the F# Foundation.

pybacktest icon pybacktest

Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast

pybrml icon pybrml

Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning

pyfolio icon pyfolio

Portfolio and risk analytics in Python

pyston icon pyston

An open-source Python implementation using JIT techniques.

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