Central Repository of Model Asset Exchange project. This repository contains information about the available models, current project status, contribution guidelines and supporting assets.

Create and deploy a predictive model using Watson Studio and Watson Machine Learning

Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.

Infuse AI into your application. Create and deploy a customer churn prediction model with IBM Cloud Private for Data, Db2 Warehouse, Spark MLlib, and Jupyter notebooks.

MLflow deployment plugin For IBM-cloud-watson-ml

Predict home value using IBM Watson machine learning and Db2 database.

Monitor performance, fairness, and quality of a WML model with AI OpenScale APIs

Code pattern to show notebook generation feature of AutoAI

Use PyWren over IBM Cloud Functions to perform face recognition deep learning

In this Code Pattern, you will learn how to build a framework which can act as an intermediator in connecting Watson services to WhatsApp messenger, to enable mobile users to leverage watson services through a messenger app.

Predict, Manage and Monitor the call drops of cell towers using Cloud Pak for Data

Real Time Prediction of Telco Customer Churn using Watson Machine Learning from Cognos

Build models that learn over time with Watson Machine Learning, Watson Studio and IBM Db2 Warehouse on Cloud

WARNING: This repository is no longer maintained ⚠️ This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://github.com/IBM/monitor-wml-model-with-watson-openscale for a similar example.

Cough It is an android app that leverages deep learning and acoustics to diagnose COVID-19 infection from cough audio samples.

Predict home value using IBM Watson machine learning and Db2 database.

In this code pattern, you will learn to build a machine learning model with no code on IBM Cloud Pak for Data, create a streaming flow on AWS Cloud and invoke the model to get predictions in real-time.

WML training framework library for the Model Asset Exchange

Monitor Watson Machine Learning Model with Watson OpenScale on Cloud Pak for Data

A guide on how to deploy a machine learning model as an API using Watson machine learning from IBM