Denis Naygeborin's starred repositories

web-2017

Materials for "Web Standards: State of the Art" session for Google DevFest 2017

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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):

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NeXt

Mirror of the OpenDaylight NeXt UI Toolkit gerrit project

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openme

Simple plugin and event-based interface to expose externals of hardwired tools (and connect them to Collective Knowledge Framework). Further info:

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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:

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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:

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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:

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ck-clsmith

Collective Knowledge extension to crowdsource bug detection in OpenCL compilers using CLSmith tool from Imperial College London

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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:

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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

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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):

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gemmbench-adapt16

Shared experiments for the ADAPT'16 submission on GEMMbench

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gemmbench

Benchmark for generic matrix-matrix multiplication (GEMM)

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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):

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ck-artifact-evaluation

Collective Knowledge repository to support artifact evaluation and reproducibility initiatives:

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ck-crowdtuning-platforms

Meta information about platforms participating in experiment crowdsourcing using Collective Knowledge Framework (OS,CPU,GPU,GPGPU,NN...):

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ck-dev-compilers

Collective Knowledge packages to build development versions of compilers (LLVM, GCC, etc) and use them in customizable and portable CK research workflows:

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ck-web-adapt-workshop

ADAPT workshop website powered by CK

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ck-guide-images

Images for CK documentation

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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:

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ck-docker

Collective Knowledge extension to automate Docker "build","run" and "push" functions and packge CK repositories for collaborative and reproducible research:

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ck-dissemination-modules

CK dissemination modules

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ck-ext-far-manager-plugin

CK extensions: FAR Manager plugin

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ck-crowdtuning

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:

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ck-web

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:

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ck-math

Collective Knowledge packages for various mathematical libs to be plugged into portable and customizable CK research workflows:

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ck-tensorflow

Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):

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ck-analytics

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:

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ck-env

CK repository with components and automation actions to enable portable workflows across diverse platforms including Linux, Windows, MacOS and Android. It includes software detection plugins and meta packages (code, data sets, models, scripts, etc) with the possibility of multiple versions to co-exist in a user or system environment.

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ck-crowdnode

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

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