Add ONNX-Scala and NDScala to Scala list
diff --git a/README.md b/README.md
index 8011fe1d..e664edb3 100644
--- a/README.md
+++ b/README.md
@@ -1558,6 +1558,7 @@ be
 <a name="scala-data-analysis--data-visualization"></a>
 #### Data Analysis / Data Visualization
 
+* [NDScala](https://github.com/SciScala/NDScala) - N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types
 * [MLlib in Apache Spark](https://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
 * [Hydrosphere Mist](https://github.com/Hydrospheredata/mist) - a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
 * [Scalding](https://github.com/twitter/scalding) - A Scala API for Cascading.
@@ -1572,6 +1573,7 @@ be
 <a name="scala-general-purpose-machine-learning"></a>
 #### General-Purpose Machine Learning
 
+* [ONNX-Scala](https://github.com/EmergentOrder/onnx-scala) - An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
 * [DeepLearning.scala](https://deeplearning.thoughtworks.school/) - Creating statically typed dynamic neural networks from object-oriented & functional programming constructs.
 * [Conjecture](https://github.com/etsy/Conjecture) - Scalable Machine Learning in Scalding.
 * [brushfire](https://github.com/stripe/brushfire) - Distributed decision tree ensemble learning in Scala.
