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Name: cKnowledge.org

Type: Organization

Bio: We support open-source projects, invest into startups and sponsor non-profits to make AI accessible to everyone

Twitter: grigori_fursin

Location: Paris, France

Blog: https://cKnowledge.org

cKnowledge.org's Projects

ck icon ck

Development fork of the MLCommons CK2 framework (aka CM)

ck-armnn icon ck-armnn

Collective Knowledge workflows for ArmNN

ck-env icon 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-mlperf icon ck-mlperf

Automated workflows for MLPerf, the industry-leading benchmark for evaluating performance of ML software and hardware

ck-nntest icon ck-nntest

CK-NNTest: collaboratively validating, benchmarking and optimizing neural net operators across platforms, frameworks and datasets

ck-openvino icon ck-openvino

Collective Knowledge workflows for OpenVINO Toolkit (Deep Learning Deployment Toolkit)

ck-pytorch icon 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-qaic icon ck-qaic

Qualcomm Cloud AI (QAIC) implementation of MLPerf Inference benchmarks

ck-tensorflow icon ck-tensorflow

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

ck-tensorrt icon ck-tensorrt

Collective Knowledge repository for NVIDIA's TensorRT

cm-mlops-copy icon cm-mlops-copy

Clean copy of the collection of the automation recipes (MLCommons CM scripts) without the whole CM repository

cm4mlops icon cm4mlops

A collection of reusable and cross-platform automation recipes (CM scripts) with a human-friendly interface and minimal dependencies to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data sets, software and hardware (cloud/edge)

cm4research icon cm4research

CM interface and automation recipes for research projects

croissant icon croissant

Croissant is a high-level format for machine learning datasets that combines metadata, resource file descriptions, data structure, and default ML semantics into a single file; it works with existing datasets to make them easier to find, use, and support with tools.

docs icon docs

Collective Knowledge platform docs

inference icon inference

Reference implementations of inference benchmarks

power-dev icon power-dev

Dev repo for power measurement for the MLPerf benchmarks

reproduce-cgo2017-paper icon reproduce-cgo2017-paper

Artifact Evaluation Reproduction for "Software Prefetching for Indirect Memory Accesses", CGO 2017, using CK.

training icon training

Reference implementations of MLPerf™ training benchmarks

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