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Model Asset eXchange

A place for developers to find and use free and open source deep learning models.


Data Asset eXchange

Explore useful and relevant data sets for enterprise data science.


AI Explainability 360

An open source software toolkit that helps you comprehend how machine learning models predict labels


AI Fairness 360

The AI Fairness 360 toolkit (AIF360) is an open source software toolkit that can help detect and remove bias in machine learning models.


Adversarial Robustness Toolbox

Explore ART, a toolbox for rapid crafting and analysis of attack and defense methods for machine learning models.


Fabric for Deep Learning (FfDL)

Deep learning fabric offering frameworks like TensorFlow, PyTorch, Caffe and others as a service on Kubernetes.


Jupyter Enterprise Gateway

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across an Apache Spark cluster.



Exporting Spark ML Models to the Portable Format for Analytics


PyWren for IBM Cloud

Run python code at scale on IBM Cloud



Spark-Bench is a flexible framework for benchmarking, simulating, comparing, and testing versions of Apache Spark and Spark applications.

Apache Bahir™

Apache Bahir™

Apache Bahir™ provides extensions to distributed analytic platforms such as Apache Spark.

Apache Toree

Apache Toree

Apache Toree acts as a middleman between an interactive application, and an Apache Spark™ cluster.

Apache SystemML

Apache SystemML

Apache SystemML provides declarative large-scale machine learning (ML) that aims at flexible specification of ML algorithms and automatic generation of hybrid runtime plans ranging from single-node, in-memory computations to distributed computations on Apache Hadoop and Apache Spark.