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pod-server

Solid server package that bind together solid-idp, wac-ldp, and websockets-pubsub.

podcast

A repos for gathering ideas, material and feedback for a London oriented node.js podcast

podcast-server

Podcast-Server

podcasts-da-bel

Todos os podcasts da Bel num só lugar

pode

Pode is a Cross-Platform PowerShell framework that allows you to host REST APIs, Web Sites, and TCP/SMTP Servers

podio-php

PHP Client for the Podio API.

podoc

podops

PodOps - Programmable Podcasts. API, CLI and backend service implementation.

pods

The Pods Framework is a Content Development Framework for WordPress - It lets you create and extend content types that can be used for any project. Add fields of various types we've built in, or add your own with custom inputs, you have total control.

podverse

Open source podcast subscribing and clip sharing app

poeblackmarket.github.io

Path of Exile Blackmarket - An Advance Search Engine

poemus.github.io

自由的诗歌平台

poetry

诗词数据库

poetry-1

最全的汉语现代诗歌语料库整理，1.3k+诗人，16k+诗歌，350w+字。持续扩充...

poezenclub

pog

MVC style framework built for io or node.js

poggit

GitHub application for managing PocketMine-family plugins, and website for sharing plugins.

poi-tl

Word模板引擎(Do Anything Anywhere)

poincare-embeddings

Poincare Embeddings for Word Vector Representations

point-of-sale

Point of Sale Software

points-extraction

A tool to analyze discursive texts with the goal of extracting key points raised and the relationships between them.

pointsgenie

"Points Genie" website for the 57th promo of Engineering at UdeS

poke-battle

pokebattle

pokechess

pokedata

pokedata-1

In this project you will scrape as much data as you can get about the *actual* sightings of Pokemons. As it turns out, players all around the world started reporting sightings of Pokemons and are logging them into a central repository (i.e. a database). We want to get this data so we can train our machine learning models. You will of course need to come up with other data sources not only for sightings but also for other relevant details that can be used later on as features for our machine learning algorithm (see Project B). Additional features could be air temperature during the given timestamp of sighting, location close to water, buildings or parks. Consult with Pokemon Go expert if you have such around you and come up with as many features as possible that describe a place, time and name of a sighted Pokemon. Another feature that you will implement is a twitter listener: You will use the twitter streaming API (https://dev.twitter.com/streaming/public) to listen on a specific topic (for example, the #foundPokemon hashtag). When a new tweet with that hashtag is written, an event will be fired in your application checking the details of the tweet, e.g. location, user, time stamp. Additionally, you will try to parse formatted text from the tweets to construct a new “seen” record that consequently will be added to the database. Some of the attributes of the record will be the Pokemon's name, location and the time stamp. Additional data sources (here is one: https://pkmngowiki.com/wiki/Pok%C3%A9mon) will also need to be integrated to give us more information about Pokemons e.g. what they are, what’s their relationship, what they can transform into, which attacks they can perform etc.

pokemap-1

The world of Pokemon GO is as big as our planet. Pokemons have been sighted on top of cliffs perched over oceans as well as in your next door coffee shop. We would like to create a world-wide interactive map that shows where Pokemons were predicted to appear. Each pokemon prediction you add to the map should have all relevant information including name, time the pokemon is predicted to appear, prediction confidence rate etc. The map should be filtered by a time range (i.e predicted to appear in the next day) as well as pokemon name and pokemon specie.

pokemap-2

The world of Pokemon GO is as big as our planet. Pokemons have been sighted on top of cliffs perched over oceans as well as in your next door coffee shop. We would like to create a world-wide interactive map that shows where Pokemons were predicted to appear. Each pokemon prediction you add to the map should have all relevant information including name, time the pokemon is predicted to appear, prediction confidence rate etc. The map should be filtered by a time range (i.e predicted to appear in the next day) as well as pokemon name and pokemon specie.

pokemmo

:space_invader: Pokémon MMO Engine with Realtime Editor