rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Since the advent of deep reinforcement learning for game play in 2013, and simulated robotic control shortly after,
Turbo-Charging Data Science with AutoML Although there are an increasing number of commercial AutoML products, the open-source ecosystem has been innovating here as well. In
Finding Optimised Efficient Investment Portfolios in Python One of the milestones of the investment management application was to implement an end to end solution that
How to train a neural net to play cards In this article, we’ll use some basic machine learning methods to train a bot to play
Stock Market Trend Analysis with Python The purpose of this article is to introduce the reader to some of the tools used to spot stock
Building a Parallel Task API with Celery An introduction to running parallel tasks with Celery, plus how and why we built an API on top