Add N2D2
diff --git a/README.md b/README.md
index d8a42fcb..ac1f5dec 100644
--- a/README.md
+++ b/README.md
@@ -222,6 +222,7 @@ 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.
+* [N2D2](https://github.com/CEA-LIST/N2D2) - CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms
 * [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.

Add N2D2, [CEA LIST](http://www-list.cea.fr/)'s CAD open-source framework for designing and simulating Deep Neural Network (DNN), and building full DNN-based applications on embedded platforms.

Documentation: https://cea-list.github.io/N2D2-docs/
