kerns-ai-lab,Kerns AI Lab,github

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcementlearning2e

Notes and exercises from Reinforcement Learning An Introduction 2nd Edition by Richard Sutton and Andrew Barto

skills

A detailed implementation of the TrueSkill algorithm to go along with my "Computing Your Skill" blog post

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

vm

Vagrant Virtual Machines

vulcan

Matchmaking Skill Rating Platform System Prototype

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