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ck-tensorflow
Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):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.ck-autotuning
CK automation actions to let users implement portable, customizable and reusable program workflows for reproducible, collaborative and multi-objective benchmarking, optimization and SW/HW co-design: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:artifact-evaluation
Collective Knowledge repository to support artifact evaluation and reproducibility initiatives: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:ck-tensorrt
Collective Knowledge repository for NVIDIA's TensorRTck-math
Collective Knowledge packages for various mathematical libs to be plugged into portable and customizable CK research workflows: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: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:ck-quantum
Miscellaneous resources for Quantum Collective Knowledgeck-mlperf
This repository is outdated! Join the open MLPerf workgroup to participate in the development of the next generation of automation workflows for MLPerf benchmarks: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):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:ck-crowdtuning-platforms
Meta information about platforms participating in experiment crowdsourcing using Collective Knowledge Framework (OS,CPU,GPU,GPGPU,NN...):ck-docker
Collective Knowledge extension to automate Docker "build","run" and "push" functions and packge CK repositories for collaborative and reproducible research:ck-crowdnode
Standalone, thin and portable server to let users participate in experiment crowdsourcing using Windows devices via Collective Knowledge Framework: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:ck-clsmith
Collective Knowledge extension to crowdsource bug detection in OpenCL compilers using CLSmith tool from Imperial College Londonck-ext-far-manager-plugin
CK extensions: FAR Manager pluginctuning-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):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:ck-dissemination-modules
CK dissemination modulesck-web-adapt-workshop
ADAPT workshop website powered by CKreproduce-ck-paper
Shared artifacts in the Collective Knowledge Format as a proof-of-concept to reproduce our recent Collective Mind- and Collective Knowledge-related papersopenme
Simple plugin and event-based interface to expose externals of hardwired tools (and connect them to Collective Knowledge Framework). Further info: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:ck-guide-images
Images for CK documentationck-wa
Collective Knowledge workflow for ARM's workload automation tool: an open framework for gathering and sharing knowledge about system design and optimization using real-world workloads.reproduce-pamela-project
Shared artifacts and workflows from the EPSRC Pamela project in the customizable, portable and reusable Collective Knowledge format:ck-rpi-optimization-results
Demonstration of compiler autotuning, crowd-tuning and machine learning on RPi3 via customizable Collective Knowledge workflow framework with a portable package manager. This technology supports Pareto-efficient software/hardware co-design tournaments of deep learning in terms of speed, accuracy, energy, costs:ck-mxnet
Portable and customizable Collective Knowledge workflows for MXNet:reproduce-carp-project
Shared artifacts and workflows from the EU FP7 Carp project in the customizable, portable and reusable Collective Knowledge format:reproduce-pamela-project-small-dataset
Medium data set (20 frames) in the CK format for the EPSRC Pamela project:ck-tvm
Portable and customizable Collective Knowledge workflows for TVM and VTA:ck-nntest
CK-NNTest: collaboratively validating, benchmarking and optimizing neural net operators across platforms, frameworks and datasetsck-request-asplos18-caffe-intel
CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:ck-request-asplos18-results
Validated Collective Knowledge workflows and results from the 1st ACM ReQuEST tournament on co-design of Pareto-efficient SW/HW stack for image classification at ASPLOS'18:ck-request-asplos18-resnet-tvm-fpga
CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:ck-scc18
Beta Collective Knowledge workflow to automate installation, execution, customization and validation of SeisSol application from the SCC18 Reproducibility Challenge across different platforms and environments:ck-request-asplos18-mobilenets-tvm-arm
CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:ck-object-detection
CK research workflows for object detectionck-mvnc
Collective Knowledge Workflows for Movidius Neural Compute Stick as a part of AI unification:ck-request
Collective Knowledge workflows to support ReQuEST tournaments (open, reproducible and Pareto-efficient SW/HW co-design of emerging workloads such as deep learning):ck-dnndk
Collective Knowledge workflows for DeePhi's DNNDKck-armnn
Collective Knowledge workflows for ArmNNck-openvino
Collective Knowledge workflows for OpenVINO Toolkit (Deep Learning Deployment Toolkit)ck-qiskit
CK repository for Quantum Information Software Kit (QISKit)cbench
News: we have moved this code to the CK framework:ck-ml
Aggregation of CK components and workflows from the community for ML Systems in one repository. They are also uploaded to the cKnowledge platform:ck-scc
The procedures and a workflow to prepare Student Cluster Competition submissions:cm4research
CM interface and automation recipes to access, manage, prepare, run and reproduce research projects from AI, ML and Systems conferencesck-mlflow
Collective Knowledge components and workflows for MLFlow:ck-cntk
Portable and customizable Collective Knowledge workflows for CNTK:ck-pytorch
Integration of PyTorch 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):ck-tiny-dnn
Collective Knowledge experimental workflow to crowd-benchmark and crowd-tune Tiny DNN. Currently on stall due to lack of time and resources. Further info about collaborative DNN optimization:ck-rigetti
CK repository for Rigetti Computing workflowsreproduce-sysml19-paper-aggregathor
Reproducibility report and the Collective Knowledge workflow for the MLSys'19 paper "AggregaThor: Byzantine Machine Learning via Robust Gradient Aggregation"reproduce-adapt16
Reproducing ADAPT'16 paperck-rescue-hpc
ResCuE-HPC workshop series (Reproducible, Customizable and Portable Workflows for HPC)reproduce-fgg-2010
Reproducing some results from Grigori Fursin's research up to 2010 (before moving artifact to Collective Mind and later to Collective Knowledge)ck-website
CK repository for cKnowledge.org website:ctuning-modules
cTuning modulesck-mlperf-inference
CK automation recipes for the MLPerf inference benchmark:ck-graph-analytics
Collective Knowledge repository with workflows and packages for graph analytics applicationsck-ml-min
minimal CK components for MLck-request-asplos18-results-resnet-tvm-fpga
Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:reproindex
[OUTDATED] Index of reproduced papers with reusable research components and unified workflows. Moved tock-request-asplos18-iot-farm
CK workflow, portable packages and other artifacts for the ReQuEST-ASPLOS'18 submission:ck-ai
Description of reusable and customizable AI artifacts in the Collective Knowledge format (can be automatically installed, plugged to CK workflows and collaboratively optimized across diverse hardware/models/data sets/libraries):ck-kann
Collective Knowledge repository for Kalray's KaNNmlperf_inference_submissions_v3.0
MLPerf inference submissions v3.0 playgroundck-x
Brainstorming and prototyping the 3rd generation of the Collective Knowledge technology:submissions_tiny_v1.1_by_taskforce_on_auto_and_repro
Automation and Reproducibility Study for TinyMLPerfck-coral
Collective Knowledge workflows for the Coral EdgeTPU acceleratorck-mlbox
CK automation for MLCommons MLBoxmlperf_inference_submissions_v3.1a
Community submission to MLPerf inference v3.1 part 1reproduce-ck-paper-large-experiments
CK repository: large artifacts (HOG experiments) for CK-related papersck-tbd-suite
Prototyping CK workflows for ML trainingmlperf_inference_submissions_v3.1
Community submission to MLPerf inference v3.1ck-assets
Public CK resources (interactive articles, slides, figures, tables, etc)ck-bc
Single-node betweenness centrality demo by Flavio Vellack-crowdtuning-results
Public results in the Collective Knowledge Format (JSON meta data) from collaborative optimization of computer systems. See live repository:ck-crowd-papers
Collaborative research papers auto-generated via Collective Knowledge framework with the help of the communityreproduce-sysml19-paper-p3
Reproducibility report and the Collective Knowledge workflow for the SysML'19 paper "Priority-based Parameter Propagation for Distributed DNN Training"mlperf_inference_submissions_v4.1
MLPerf inference v4.1 community submissionsck-request-asplos18-results-mobilenets-armcl-opencl
Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:ck-wa-extra
Extra resources in the Collective Knowledge Format for ARM's Workload Automation Framework:ck-request-asplos18-results-caffe-intel
Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:ck-request-asplos18-results-mobilenets-tvm-arm
Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:ck-spack
Collective Knowledge repository with CK package and virtual environment front-end for Spack packages:Love Open Source and this site? Check out how you can help us