From 330b4e8c2929d472629cd5988f5571b1ba1bf7ac Mon Sep 17 00:00:00 2001 From: "Safonov, Igor" Date: Thu, 5 May 2022 14:54:34 -0700 Subject: [PATCH] add oneDNN --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index c19f6d3..997a040 100644 --- a/README.md +++ b/README.md @@ -221,6 +221,7 @@ Further resources: * [MLDB](https://mldb.ai) - The Machine Learning Database is a database designed for machine learning. Send it commands over a RESTful API to store data, explore it using SQL, then train machine learning models and expose them as APIs. * [mlpack](https://www.mlpack.org/) - A scalable C++ machine learning library. * [MXNet](https://github.com/apache/incubator-mxnet) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more. +* [oneDNN](https://github.com/oneapi-src/oneDNN) - An open-source cross-platform performance library for deep learning applications. * [ParaMonte](https://github.com/cdslaborg/paramonte) - A general-purpose library with C/C++ interface for Bayesian data analysis and visualization via serial/parallel Monte Carlo and MCMC simulations. Documentation can be found [here](https://www.cdslab.org/paramonte/). * [proNet-core](https://github.com/cnclabs/proNet-core) - A general-purpose network embedding framework: pair-wise representations optimization Network Edit. * [PyCaret](https://github.com/pycaret/pycaret) - An open-source, low-code machine learning library in Python that automates machine learning workflows.