landing init.
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Updated
Jun 4, 2016 - CSS
landing init.
Next generation framework for collaborative data science and automated machine learning
A collaborative text-building system
Shared artifacts in the Collective Knowledge Format as a proof-of-concept to reproduce our recent Collective Mind- and Collective Knowledge-related papers
🍀 P2P Distributed Evolutionary Algorithms on Ephemeral Infrastructure for Neural Network Optimization.
Build a resilient biotaxonomic database through collaborative efforts, ensuring endurance and minimizing redundancy
Built collaborative filtering from scratch using MovieLens Dataset as part of large scale analytics project
Research Bridge : A community driven site to facilitate collaborations and discussions amongst ML researchers.
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...):
Cohortz & Kohortz - Collaboration Portal
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."