collaborative-optimization

There are 8 repositories under collaborative-optimization topic.

  • dividiti/ck-caffe

    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):

    Language:CMake1942110440
  • ctuning/ctuning-programs

    Collective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:

    Language:C536212
  • 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):

    Language:Python32804
  • ctuning/ck-crowdnode

    Standalone, thin and portable server to let users participate in experiment crowdsourcing using Windows devices via Collective Knowledge Framework:

    Language:C285113
  • 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:

    Language:Java2810513
  • kohortz/kohortz

    Cohortz & Kohortz - Collaboration Portal

  • ctuning/ck-crowdtuning-results

    Public results in the Collective Knowledge Format (JSON meta data) from collaborative optimization of computer systems. See live repository:

    Language:E1501
  • ctuning/ck-wa-extra

    Extra resources in the Collective Knowledge Format for ARM's Workload Automation Framework:

    Language:Python1402