Standalone, thin and portable server to let users participate in experiment crowdsourcing using Windows devices via Collective Knowledge Framework:
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Updated
Apr 29, 2017 - C
Standalone, thin and portable server to let users participate in experiment crowdsourcing using Windows devices via Collective Knowledge Framework:
Integration of the Lift project with the Collective Knowledge (CK) framework
Open Ideas Collective - A Collective of Thinkers and Doers
Crowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:
Collective Knowledge extension to crowdsource bug detection in OpenCL compilers using CLSmith tool from Imperial College London
ARM's workloads in the universal Collective Knowledge Format with JSON API and JSON meta information to power Workload Automation Framework
Collective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
A collection of all known Alfred3 workflows
Code, design, and experiments related to the SFI-CI High Dimensional Evolution Project.
Development version of CodeReefied portable CK workflows for image classification and object detection. Stable "live" versions are available at CodeReef portal:
USMP is a project inspired by Missing 411 and the lack of a collective database of missing persons regarding the US National Park system. Our goal is to, with community driven help, provide a collective public database with this information to aid in missing persons cases.
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:
Integration of Caffe2 to Collective Knowledge workflow framework to provide unified CK JSON API for AI (customized builds across diverse libraries and hardware, unified AI API, collaborative experiments, performance optimization and model/data set tuning):
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:
Collective Knowledge crowd-tuning extension to let users crowdsource their experiments (using portable Collective Knowledge workflows) such as performance benchmarking, auto tuning and machine learning across diverse platforms with Linux, Windows, MacOS and Android provided by volunteers. Demo of DNN crowd-benchmarking and crowd-tuning:
Meta information about platforms participating in experiment crowdsourcing using Collective Knowledge Framework (OS,CPU,GPU,GPGPU,NN...):
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:
Collective Knowledge extension to automate Docker "build","run" and "push" functions and packge CK repositories for collaborative and reproducible research:
Add a description, image, and links to the collective-knowledge topic page so that developers can more easily learn about it.
To associate your repository with the collective-knowledge topic, visit your repo's landing page and select "manage topics."