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qtrader

Reinforcement Learning for Portfolio Management

quadra

R package for QUality Assessment of Dimensonality Reduction Algorithms

quantecon.lectures.code

Code Repository to Support QuantEcon Lecture Site

quantecon.notebooks

Jupyter notebooks contributed by QuantEcon developers, users and the community

quantecon.py

A community based Python library for quantitative economics

quantlib

The QuantLib C++ library

quantlib-noboost

QuantLib ported to C++17 and with all Boost dependency removed

quantlibadjoint

QuantLib with adjoint algorithmic differentiation (AAD)

quantmod

Quantitative Financial Modelling Framework

quickfix_example

A very basic C++ trading engine based on QuickFIX Engine

quickfixn

QuickFIX/n implements the FIX protocol on .NET.

quickssh

r-code

Mostly R code files for my posts on www.returnandrisk.com.

r-fixedincome

Fixed income tools for R

r.prevos.net

The Devil is in the Data blog

r4nd0m

randompy

Collection of functions to generate pseudo random values for emails, IP addresses, ...

rankymcrankface

Hardened Fork of Ranklib learning to rank library

raptor

Code basis for the Realtime adAPtative detecTOR (first published and referred to at IEEE ICRA 2014)

ray

A high-performance distributed execution engine

rayshader

R Package for Producing and Visualizing Hillshaded Maps from Elevation Matrices, in 2D and 3D

rbm-mnist

C++ 11 implementation of Geoff Hinton's Deep Learning matlab code

rbspy

Sampling profiler for Ruby

realismcnn

code for predicting and improving visual realism in composite images

realtime-rtsp

itis a realtime h264 network streaming based on live555

recipes

Lasagne recipes: examples, IPython notebooks, ...

recognizers-text

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (Chinese, English, French, Spanish, and Portuguese. Partial support for German). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text

referringrelationships

regtools

tools for presenting regressions results

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.