goldstar111 Goto Github PK

aave_liquidations

adaptiveenbmimocqr

adaptivegp

Fully nonstationary, heteroscedastic GP for Matlab

advanced-cpp-and-modern-design

My solutions to the "Advanced C++ and Modern Design" course offered by Baruch College.

allocator

A set of memory allocators for use with the C++ Standard Template Library

allocatorbuilder

Policy Based C++ Allocator Library

alphaengine

amazon_employee_access_2013

solution of our team Dmitry&Leustagos for Amazon competition (3rd place)

arenaalloc

Arena allocator for STL containers

atomic_patterns

Common atomic patterns

autocorr_season_length_detection

Season Length Detection based on Autocorrelation

avito_context_click_2015

3rd place solution for the Avito Context contest on kaggle.com

awesome-cpp

A curated list of awesome C/C++ frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-quant-machine-learning-trading

Quant/Algorithm trading resources with an emphasis on Machine Learning

awesome-ripple

A curated list of Ripple resources

aws-sa-associate-saac02

Course Files for AWS Certified Solutions Architect Certification Course (SAAC02) - Adrian Cantrill

bayes-filters-lib

A flexible, modern, C++ recursive Bayesian estimation library.

bayes-time-series

bayesian-multivariate-time-series-causal-inference

R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''

binacpp

Binance C++ library

binance-trader

💰 Cryptocurrency Trading Bot for Binance (Experimental)

bip39

A web tool for converting BIP39 mnemonic codes

bitcoin-seeder

bitpredict

This project is concerned with predicting the price of Bitcoin using machine learning. The goal is to ascertain with what accuracy can the direction of Bitcoin price in USD can be predicted. The task is achieved with varying degrees of success through the implementation of Bayesian Regression.The popular ARIMA model for time series forecasting is implemented as a comparison to Holt’s Forecasting Model, exponential triple smoothing and Bayesian Regression. It can clearly be seen that Bayesian regression gives the best forecasting model for bitcoin price prediction. It has a very low Mean accuracy prediction error of 7.82 which is way lower compared to other models. The model is run only for 10 iterations or Markov chains and increasing this number would further improve the model accuracy. The implementation is done in R.

boostache

Template engine library in C++

bouncer

Automated Feature Selection

brigand

Instant compile time C++ 11 metaprogramming library

capnproto

Cap'n Proto serialization/RPC system - core tools and C++ library

cereal

A C++11 library for serialization

cmake-cookbook

CMake Cookbook recipes.