vikchop's repositories
Awesome-Quant-Machine-Learning-Trading
Quant/Algorithm trading resources with an emphasis on Machine Learning
BeastLounge
Multi-user Client/Server gaming demo with Boost.Beast
cmake-cookbook
CMake Cookbook recipes.
CPP-Call-Tensorflow
Calling (TensorFlow) Python Program from C++
cppkiteconnect
Unofficial c++ headers only, client for communicating with the Kite Connect API.
d3-twitter-geo-stream
A real-time D3 visualization of geocoded data derived from tweets retrieved from the Twitter streaming API.
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.
exio-python
python API for the ex.io cryptocurrency exchange
keras-elmo
How to use ELMo embeddings in Keras with Tensorflow Hub
liteExchange
A multithreaded order matching engine in C++11 using FIX for order entry for Linux/Windows
models
Models and examples built with TensorFlow
ModernCppExamples
Modern CPP Practice
monetizing-machine-learning
Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei
PyXchange
Limit orderbook and matching engine written in Python and C++, using Twisted, boost::python and boost::multi_index
sample-market-maker
Sample BitMEX Market Making Bot
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
trump2cash
A stock trading bot powered by Trump tweets
Twitter-Sentiment-Analysis-Web
Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.
wave
An algorithm trading platform in C++
WebRadio
A streamripper written in C++14 that lets you listen or download content from YouTube in a terminal
word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.