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Accelerating reproducible computational research. CodaLab is an ecosystem for conducting computational research in a more efficient, reproducible, and collaborative manner. Allow you to capture complex research pipelines in a reproducible way and create "executable papers". Use any data format or programming language — great for the power user! To help develop the CodaLab platform!

http://www.codalab.org/

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CodaLab - Home | codalab.org Reviews

https://codalab.org

Accelerating reproducible computational research. CodaLab is an ecosystem for conducting computational research in a more efficient, reproducible, and collaborative manner. Allow you to capture complex research pipelines in a reproducible way and create "executable papers". Use any data format or programming language — great for the power user! To help develop the CodaLab platform!

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CodaLab - Home

Accelerating reproducible computational research. Microsoft COCO Image Captioning Challenge. Mar 15, 2015. CIKM Cup 2016 Track 1: Cross-Device Entity Linking Challenge. Aug 05, 2016. LiTS - Liver Tumor Segmentation Challenge. Dec 01, 2016. SemEval 2017 Task 10 ScienceIE. Sep 01, 2016. SemEval-2017 Task 6: #HashtagWars Learning a Sense of Humor - Subtask A. Aug 01, 2016. AutoML : ROUND 2 PRACTICE. Organized by automl.chalearn. Dec 07, 2015.

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CodaLab - Home

A collaborative platform for reproducible research. Running 100 experiments in parallel on different versions of your code/data? Don't remember how you got that result from 6 months ago? CodaLab allows you to run your jobs on a cluster, document and share your experiments, all while keeping track of full provenance, so you can be a more efficient researcher. To get started, read more about the mission. For an account, and go through the tutorial. To try it out! De (in any programming language) and da.

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Skip to main content. Ivan R. Judson. Technology, Philosophy, and Life. Find me on Github. Follow me on Twitter. Like me on Facebook. Connect with me on LinkedIn. Follow me on GooglePlus. Subscribe to our RSS Feed. 7th August, 2014. Through Northeastern’s Cooperative Education program, I worked at Thinking Machines Corporation, MITRE, and served as the system administrator for "Scout," the research Connection Machine at the Laboratory for Computer Science, Massachusetts Institute of Technology. Most rece...

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Skip to main content. Ivan R. Judson. Technology, Philosophy, and Life. Find me on Github. Follow me on Twitter. Like me on Facebook. Connect with me on LinkedIn. Follow me on GooglePlus. Subscribe to our RSS Feed. 9th August, 2014. This is a running list of projects, products, or services I've worked on.

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grand-challenges - Create your own project

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Create your own project. Sign in / Register. Create your own project. To create a new project. In 2012 a team with members from five groups in medical image analysis decided to build a platform to easily set up websites for challenges in biomedical images analysis. We named our group the Consortium for Open Medical Image Computing and COMIC is the name for our platform. COMIC is developed in python and django, is open source, and hosted on github. Where you can download it and start your own COMIC server.

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1 Prepare JSON Files. Before uploading your results to the evaluation server, you will need to create two JSON files containing your results in the correct format. One file should correspond to your results on the validation dataset, and the other to the testing dataset. Your files should be named as follows:. Type] val2014 [alg] results.json. Type] test2014 [alg] results.json. 2 Create CodaLab Account and Join the Competition. Next you will need to create an account on CodaLab. 3 Download Your Results.

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grand-challenges - Create your own project

https://grand-challenge.org//Create_your_own_project

Create your own project. Sign in / Register. Create your own project. To create a new project. In 2012 a team with members from five groups in medical image analysis decided to build a platform to easily set up websites for challenges in biomedical images analysis. We named our group the Consortium for Open Medical Image Computing and COMIC is the name for our platform. COMIC is developed in python and django, is open source, and hosted on github. Where you can download it and start your own COMIC server.

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CodaLab - Home

Accelerating reproducible computational research. CodaLab is an ecosystem for conducting computational research in a more efficient, reproducible, and collaborative manner. Allow you to capture complex research pipelines in a reproducible way and create "executable papers". Use any data format or programming language — great for the power user! To help develop the CodaLab platform!

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Control, Dynamics and Applications. The popup login form. Is a group of people in the Departament de Matemàtiques. A department of the Universitat Politècnica de Catalunya. The group is active in an interdisciplinary intersection of applied mathematics, systems and control theory and engineering. The group covers both theoretical and applied research and has grown through the collaboration with other national and foreign leading research groups. For 2009-2013 and 2014-2016. Sep 06, 2016. Jul 19, 2016.

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Instalando John the Ripper (JtR) no Mac OS. Nota: Testado no Mac OS Sierra usando Homebrew. Recentemente precisei instalar o JtR ( http:/ www.openwall.com/john/. Em um Macbook Pro. Um pouco mais trabalhoso do que nas distribuições Linux em geral, mas nada impossível. Apesar de haver um build para OSX ( http:/ download.openwall.net/pub/projects/john/contrib/macosx/. Então os passos abaixo fazem mais sentido para mim de qualquer forma. Cabeçalhos do OpenSSL. Brew link openssl - force. Nota: As variá...

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