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d_t_cpp

dqn-pytorch

DQN implementation using PyTorch for CartPole-v0 environment.

edsebooks

Automatically exported from code.google.com/p/edsebooks

ehlers

elements-of-statistical-learning

Contains LaTeX, SciPy and R code providing solutions to exercises in Elements of Statistical Learning (Hastie, Tibshirani & Friedman)

elitequant_cpp

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

emulator

Gaussian Process regression library

esl-cn

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

eventdrivenplatform

Basic event driven platform for backtesting financial strategies in C++

fastsgd

Fast Stochastic Gradient Descent with AdaGrad and Rcpp

ffff

Free-software For Financial Freedom.

financial-lib

tools for quant finance & algorithmic trading.... mostly Python w/ some C++ and R

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

free-programming-books

:books: Freely available programming books

gaussian-models

An implementation of Sparse Conditional Gaussian Graphical Models in C++.

ges

Greenhouse Energy Simulation

glmnetrcpp

glog

C++ implementation of the Google logging module

gmm_cpp

Gaussian mixture model implementation in C++ with black box variational inference and control variates

gp

C++ Gaussian Process library

gpboost

Combining tree-boosting with Gaussian process and mixed effects models

gpc

Gaussian process code in C++ including some implementations of GP-LVM and IVM.

gplib

C++ Gaussian Process Library

gpr

Basic Gaussian process regression library. (Eigen3 required)

gspam

Generalized Sparse Additive Modeling

hana.zh

Boost.Hana中文文档

highfrequencytradingsystem

hikyuu

Hikyuu Quant Framework 基于C++/Python的开源量化交易研究框架

how_to_double_your_investment_in_100_days

Using Python to create a price prediction algorithm with ARIMA and random forest to design an optimal, relatively risk-free arbitrage strategy.

hpx_projects

:zap: High-Performance-Computing with C++