Samuel Holt's Projects
QTPyLib, Pythonic Algorithmic Trading
Quant DSL
Code Repository to Support QuantEcon Lecture Site
QuantInsti EPAT: Final Project on Statistical Arbitrage
The QuantLib C++ library and extensions (warning: out of date)
The QuantLib extension modules
Simple queue for elixir based on their Stack example
Yet another cryptocurrency bot for arbitrage (hence RB) between different exchanges
A Node Express app built using the Heroku CLI for monitoring arbitrage opportunities and auto trading within a single crypto currency exchange and between exchanges.
A gem for automating arbitrage between Bitcoin exchanges.
Simple chat example using Elixir and RethinkDB
Highly customizable stock charts with ReactJS and d3
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Gathers machine learning and deep learning models for Reinforcement Learning
Rinjani Bitcoin Arbitrager is a Proof-Of-Concept prototype of an automatic arbitrage trading system.
Risk Management for Odoo
Open source stock exchange
Light weight implementations of real-time communication protocols and applications in Python
Personal README
Sample BitMEX Market Making Bot
Lectures on scientific computing with python, as IPython notebooks.
Sequential model-based optimization with a `scipy.optimize` interface
Web scraping stuff in Elixir
Gathers signal processing, computer vision, machine learning and deep learning for self-driving car engines.
Sentiment Anaylysis of Movie Reviews using Naive Bayesian & AFINN Classifier and streaming Tweets using Nodejs,Express,socket.io in backend,MongoDb as Database,AngularJs in frontend without using third-party module for authorization.
Serverless Framework β Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! β
[Not my code.]Β Code from Style Transfer for Headshot Portraits (SIGGRAPH 2014)
Code repository for the paper "Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations".
Classify signal using Deep Learning on Tensorflow and various machine learning models.
python client proxy for signalr