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inference_policies
Public archiveck-env
Public archiveCK 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:inference
Public archiveck-armnn
Public archiveck-nntest
Publicck-openvino
Public archiveck-tensorrt
Public archiveck-coral
Publicck-pytorch
Public archiveIntegration 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-mlperf
Public archiveck-tensorflow
Public archiveck-autotuning
Publicinference_results_v0.7
Publicpolicies
Public archiveck-math
Public archiveck
PublicCollective Knowledge (CK) is a small Python library that helps to decompose complex research projects into reusable and cross-linked components (wrappers for code, data, models and results), automation actions and portable workflows with unified APIs, CLI, and JSON I/O. You can find more info and real-world use cases at the project website:ck-web
PublicCollective 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-old-packages
Publicck-website
Publicck-zeromq
Publicck-object-detection
Public archiveck-analytics
Publicinference_results_v0.5
Publicck-quantum
Publicck-caffe
PublicCollective 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):ck-crowdtuning
PublicCollective 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-ehive
Publicck-graph-analytics
Publicctuning-programs
PublicCollective 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: