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caffe

Caffe: a fast open framework for deep learning.

ck

Collective Knowledge - small, portable and customizable framework to share artifacts as reusable Python components with JSON API; quickly prototype experimental workflows (such as multi-objective autotuning); automate, crowdsource and reproduce experiments; unify predictive analytics (scikit-learn, R, DNN); enable interactive articles. Live repo:

ck-autotuning

CK extensions - customizable, multi-dimensional and multi-objective software and hardware autotuning

ck-caffe

Collective Knowledge repository for evaluating and optimising performance of Caffe

ck-crowdnode

Standalone, thin and portable server to let users participate in experiment crowdsourcing via CK

ck-crowdsource-dnn-optimization

CK GUI application to crowdsource benchmarking and optimization of DNN engines and models across diverse Linux or Windows platforms. Further info:

ck-env

CK extensions - managing environments for software and hardware

ck-math

collection of various math libs in CK format

ck-tensorflow

Collective Knowledge repository for evaluating and optimising performance of TensorFlow

ck-tiny-dnn

CK crowd-benchmarking and crowd-tuning workflow for Tiny DNN

clblast

Tuned OpenCL BLAS

crowdsource-experiments-using-android-devices

Android application to participate in experiment crowdsourcing using public CK servers

crowdsource-video-experiments-on-android

Crowdsourcing video experiments (such as DNN crowd-tuning) on Android

material-design-icons

Material Design icons by Google

mxgraph-example-10k-vertexes

Created with CodeSandbox

mxgraph-react-webte-prototype

Created with CodeSandbox

sdk

tensorflow

Computation using data flow graphs for scalable machine learning

viennacl-dev

Developer repository for ViennaCL. Visit http://viennacl.sourceforge.net/ for the latest releases.