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abyes

A Python package for Bayesian A/B Testing

ai-ipcam

Enhancing ordinary IP cameras with AI, MQTT

bayesian_ab_testing

Simulating Bayesian AB Testing

bayesianprobabilitiesworkshop

A collection of questions and solutions to problems presented at Rasmus Bååth's Bayesian probabilities workshop.

botframework-emulator

Bot Framework Emulator

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cookie-consent

Contendor de Google Tag Manager para implementar la ley de Cookies

data-science-cheatsheet

dofactory.gangoffour

.Net Design Patterns from http://www.dofactory.com/net/design-patterns

experiments_with_python

experiments with python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

kaggle-2014-criteo

kubernetes-examples

Kubernetes application example tutorials

machine_learning_examples

A collection of machine learning examples and tutorials.

mpandroidchart

A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, dragging and animations.

mqtt

paho.mqtt.android

MQTT Android

plotly.py

An interactive, browser-based graphing library for Python :sparkles:

python-linkedin

Python interface to the LinkedIn API

qlearning_trading

Learning to trade under the reinforcement learning framework

r-course

Una introduccion al analisis de datos con R y R Studio

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

science-journal

Science Journal Android code.

smart-city-simulator

trials

Tiny Bayesian A/B testing library

tutorial-kubernetes-ubuntu

Tutorial de como instalar kubernetes de forma sencilla con ansible

ubuntu-16-nginx

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.