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.emacs.d

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

courses

fast.ai Courses

deep_portfolio

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

edge-js

Run .NET and Node.js code in-process on Windows, MacOS, and Linux

evolution-strategies-starter

Starter code for Evolution Strategies

fitvec

A simple numpy-based genetic algorithm library for function parameter optimization.

flauinspect

Inspect tool to inspect UIs from an automation perspective

fotosave

gridworld

Simple implementation of text-based Gridworld game. Intended for use with reinforcement learning algorithms.

ibpy

Python API for the Interactive Brokers on-line trading system.

knoter

Note things as they happen

koolshark

magenta

Magenta: Music and Art Generation with Machine Intelligence

portfolioopt

Financial Portfolio Optimization Routines in Python

pymphys

reflect-metadata

Prototype for a Metadata Reflection API for ECMAScript

rips2014-hko

RIPS2014-HKO

scriptingexercise

This is a repo for scripting exercise on first week.

sl-quant

Companion code for the "Self Learning Quant" blog post

socorro

Socorro is a server to accept and process Breakpad crash reports.

startrader

This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy gradient (DDPG) learning algorithm

ta

Technical analysis routines for Python

task1