crowdai Goto Github PK

Name: crowdAI

Type: Organization

crowdAI - The open platform for data science challenges

Introduction

crowdAI (www.crowdAI.org) is a not-for-profit platform for open data challenges. It has two goals:

to be the place for solving (big) data problems in open science through open challenges
to be the place for learning about the techniques used to solve these problems.

Developed by scientists and engineers at EPFL in Switzerland, crowdAI is open to participants from anywhere in the world. The platform is also open to host challenges from anyone else, from big or small research groups in academia to well established company dealing with an interesting problem around open science and open data.

Open data challenges on the web give everyone around the world a shot at tackling difficult data problems.
By providing their solutions openly, participants can rapidly learn the latest powerful techniques from each other.

Contributing to CrowdAI

👍🎉 First off, thanks for taking the time to contribute! 🎉👍 Did we you say you are Awesomeee ?

Our Contribution guidelines are available at CONTRIBUTING.md

Documentation

We are in the process of migrating our documentation from the Wiki into this repository as markdown files.

Contact

You can always reach out to us at [email protected] and you are always welcome to join the CrowdAI Community banter on our Gitter channel at https://gitter.im/crowdAI/Lobby

crowdAI's Projects

activeadmin-axlsx

ActiveAdmin plugin using Axlsx for adding Excel (xlsx) download links for your resources

aigeneratedmusicchallenge_job_factory

clef_evaluators_2018

Evalutors used for *CLEF challenges on crowdAI

coco

MS COCO API (fork with fix for Python3)

criteoadplacementchallenge_job_factory

crowdai

Fighting for Open Science with Open Data

crowdai-ai-generate-music-starter-kit

crowdai-broker

NOTE : Deprecated

crowdai-client-py

Python client for interacting with the crowdai grader

crowdai-criteo-ad-placement-challenge-starter-kit

Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge

crowdai-example-contractor

crowdai-kit-energy-challenge-job-factory

crowdai-mapping-challenge-mask-rcnn

Mask-RCNN baseline for the crowdAI Mapping Challenge

crowdai-music-evaluation-interface

https://www.npmjs.com/package/crowdai-music-evaluation-interface

crowdai-musical-genre-recognition-starter-kit

crowdai_admin

ActiveAdmin skin with a crowdAI flair.

crowdai_api

python client for interacting with the crowdAI.org webapp api

deepo

A series of Docker images (and their generator) that allows you to quickly set up your deep learning research environment.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

docker-heroku-rails

Docker container for Rails based on the new Heroku-16 base image.

example_job_factory

geccooptimizationchallenge2017_job_factory

ieee_investment_ranking_challenge-starter-kit

Starter kit for getting started in the IEEE Investment Ranking Challenge.

ieeeinvestmentrankingchallenge_job_factory

league-of-nations-archives-digitization-challenge-starter-kit

learnin2run_grading_orchestrator

Orchestrator for grading the docker container submissions in the Learning2Run Challenge Round-2

learning2runnips2017_job_factory

loadtest

Load testing for submission infrastructure

malmo

Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information: