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Exporting Spark ML Models to the Portable Format for Analytics
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The Accessibility Probe (AccProbe) is a standalone, Eclipse Rich Client Platform (RCP) application that combines the functionality of numerous accessibility tools, including object inspection, event monitoring, and execution of accessibility APIs, into one easy-to-use application for accessibility testing and debugging.
Activity Streams provides developers with a standard model and JSON-based encoding format for describing how users engage with both the application and with one another. This standard format can be used at every layer within an application, from back-end data storage to driving the user experience, and frees developers from the need to invent new adhoc application-specific data formats and models for describing the kinds of actions that users can perform within the system.
Explore ART, a toolbox for rapid crafting and analysis of attack and defense methods for machine learning models.
Agentless System Crawler provides a unified cloud monitoring and analytics framework that enables deep visibility into all types of cloud platforms and runtimes, with close to zero effort or pain from the end user.
The AI Fairness 360 toolkit (AIF360) is an open source software toolkit that can help detect and remove bias in machine learning models.
Amalgam8 is an open source platform to simplify integration tasks for polyglot microservices, enabling developers to focus on high-value DevOps functions.
An open source IBM Bluemix Mobile Services SDK for Android to help you quickly implement Google authentication.
An open source IBM Bluemix Mobile Services SDK for Android to help you quickly implement Facebook authentication.
An open source IBM Bluemix Mobile Services SDK for Android to help you integrate your apps with Bluemix services.
Anomaly Detection Engine for Linux Logs analyzes Linux logs to help system admins and software developers understand Linux system behaviour.
Apache SystemML advances machine learning through the DML language for ML algorithms and automatic optimization for efficiency and scalability.
A developer-focused, extensible gateway platform written in Node.js that enforces access to microservices and APIs.
Application Metrics for Swift™ collects and visualizes resource and performance monitoring data for Swift-based applications. Application Metrics for Swift builds on the open source polyglot data collection capabilities of omr-agentcore, which is also used in both Node Application Metrics and the Java monitoring in the Eclipse-based IBM Monitoring and Diagnostics Tools.
The Attention Sum Reader (AS Reader) project is a machine-learning model for answering questions about text passages.