elenapazukhina's Stars
ctuning/ck-caffe2
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):
ctuning/openme
Simple plugin and event-based interface to expose externals of hardwired tools (and connect them to Collective Knowledge Framework). Further info:
ctuning/crowdsource-experiments-using-android-devices
Android application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:
ctuning/ck-crowd-scenarios
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:
dividiti/crowdsource-video-experiments-on-android
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:
ctuning/ck-clsmith
Collective Knowledge extension to crowdsource bug detection in OpenCL compilers using CLSmith tool from Imperial College London
ctuning/reproduce-milepost-project
Collective Knowledge workflow for the MILEPOST GCC (machine learning based compiler). See how it is used in the collaborative project with the Raspberry Pi foundation to support collaborative research for multi-objective autotuning and machine learning techniques, and prototype reproducible papers with portable workflows:
ctuning/reproduce-ck-paper
Shared artifacts in the Collective Knowledge Format as a proof-of-concept to reproduce our recent Collective Mind- and Collective Knowledge-related papers
ctuning/ctuning-datasets-min
Public data sets and their properties in the Collective Knowledge Format with JSON API and JSON meta information to be easily pluggable to customizable and reproducible CK experimental workflows (such as collaborative program analysis and optimization):