Markus Shepherd (MarkusShepherd)

MarkusShepherd

Geek Repo

Company:@woltapp

Location:Helsinki, Finland

Home Page:https://recommend.games/

Twitter:@MarkusRShepherd

Github PK Tool:Github PK Tool


Organizations
recommend-games

Markus Shepherd's repositories

django-rest-framework-proxy

Django Rest Framework Proxy views

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scrapy-extensions

Scrapy extensions

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boardgamegeek4android

BoardGameGeek application for Android (unofficial)

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diamant

A Python implementation of the board game Diamant đź’Ž

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diris-app

A mobile adaptation of the popular board game Dixit. Players submit photos either from their camera, from their gallery, or from a selection of publicly available images.

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diris-server

A mobile adaptation of the popular board game Dixit. Players submit photos either from their camera, from their gallery, or from a selection of publicly available images.

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flamme-rouge

A Python implementation of Asger Harding Granerud's game Flamme Rouge.

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forbidden-island-kotlin

Forbidden Island, in Kotlin

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gameshelf.github.io

NOT MAINTAINED ANYMORE

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haversine

Calculate the distance bewteen 2 points on Earth

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hccd

HCCD - HTML+CSS Card Designer

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InlineCurrencyConverter

Simple Javascript snippet that adds currency conversion to values in text

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no-thanks

A Python implementation of Thorsten Gimmler's card game No Thanks! aka Geschenkt ... ist noch zu teuer! aka Schöne Sch#!?e aka Oh S#!?

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py6Nimmt

6 Nimmt! cardgame

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pycard

Card game prototyping engine

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pytility

A lean collection of Python utilities

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regno

Dominion strategy simulator

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RicochetRobots

A simple implementation of Alex Randolph's board game Ricochet Robots including solver

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seafarer

Taxicab metric on the sphere!

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sustainable-mobility-api

Library to calculate CO2 (equivalent) emissions for a given transport trip.

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tic-tac-toe

Tic Tac Toe Python implementation including Reinforcement Learning strategies

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.github

GitHub defaults

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board-game-analysis

Analyzing the data on BoardGameGeek

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EmbedAllTheThings

Slides and suplemental notebooks for my PyData LA 2019 talk titled "Embed all the things"

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MarkusShepherd

Profile README

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Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

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