Etherpad: A modern really-real-time collaborative document editor.
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Updated
Jun 11, 2024 - JavaScript
Etherpad: A modern really-real-time collaborative document editor.
Collaborative platform for time-domain astronomy
Collective Knowledge repository to support artifact evaluation and reproducibility initiatives:
a collaborative collection of interview questions collected from both sides of the game: Interviewer(s) and Interviewee.
a real-time community collaboration platform
Android application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:
Cyber Threat Intelligence Appliance
Collective Knowledge web extension to browse CK repositories, visualize interactive graphs and articles, render CK-based websites, implement simple web services with JSON API (for example to crowdsource experiments or unify access to DNN). Demos of interactive articles, graphs and crowdsourced experiments:
Collective Knowledge repository with actions to unify the access to different predictive analytics engines (scipy, R, DNN) from software, command line and web-services via CK JSON API:
MWE for writing a collaborative paper and pdf online compilation with Travis
Public scenarios to crowdsource experiments (such as DNN crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework across diverse mobile devices provided by volunteers. Results are continuously aggregated at the open repository of knowledge:
ARM's workloads in the universal Collective Knowledge Format with JSON API and JSON meta information to power Workload Automation Framework
Collective Knowledge packages to build development versions of compilers (LLVM, GCC, etc) and use them in customizable and portable CK research workflows:
Public results in the Collective Knowledge Format (JSON meta data) from collaborative optimization of computer systems. See live repository:
Companion paper for DPPy
The Solidarity Project research programme repository
Integration of the Lift project with the Collective Knowledge (CK) framework
An innovative and collaborative solution for setting up and executing Jupyter Notebooks on High-Performance Computing (HPC) clusters, tailored for neuroscience data processing workflows.
Collective Knowledge extension to automate Docker "build","run" and "push" functions and packge CK repositories for collaborative and reproducible research:
Meta information about platforms participating in experiment crowdsourcing using Collective Knowledge Framework (OS,CPU,GPU,GPGPU,NN...):
Add a description, image, and links to the collaborative-research topic page so that developers can more easily learn about it.
To associate your repository with the collaborative-research topic, visit your repo's landing page and select "manage topics."