Bear is a lightweight remote automation tool for Groovy/Java/JVM. It allows you to deploy projects, setup your cluster, and install software to your remote machines. It differs from other existing tools in that it uses a programmatic approach - your deployment is a regular Java class. It also uses static types, chained method calls, FP, and fluent programming techniques.
WapSNMP is an SNMP client library for Go. It allows you to query SNMP servers for any variable, given its OID (no MIB resolution). It has been written to be in the Go style, which means it should be very resistant to all error conditions. It's entirely non-blocking/asynchronous, very fast, and will timeout, not block. It's also surprisingly small and easy to understand. It supports SNMPv2c or lower (not 3, due to its complexity), and supports all methods provided as part of that standard. This library works with OIDs and does not support OID-to-name translation.
Erudite is an application for training and testing back propogation neural networks using the ANNeML (Artifical Neural Network Markup Language) XML format. It supports testing and training neural nets with CSV files and has support for randomized training sets, optional adapting learning rate, sigmoid or hyperbolic tangent transfer functions, optional bias and weight adjustment locking, and more.
Hatteras is a business events subscription engine which makes up one component of the Fogcutter Suite. It works with Quoddy to provide the ability for users to create subscriptions to business events on the organization's ESB infrastructure. It connects to Quoddy, downloads all defined subscriptions, then listens for matching messages. Messages which match a subscription are persisted to an XML database, and Hatteras then sends a notification to Quoddy which creates a subscription item record which can be rendered in the user's stream. Quoddy and Hatteras thereby provide seamless access to important business events, alongside other import pieces of content the user has selected.
ClodHopper is a Java library for high-performance clustering of numerical data. It contains clustering implementations such as K-Means, K-Means++, X-Means, G-Means, Fuzzy C-Means, Jarvis-Patrick, and various forms of hierarchical clustering. ClodHopper's clustering implementations take advantage of the host system's concurrent processing ability to speed clustering. The data structures are also very lean to conserve memory usage. ClodHopper is very extensible. If you are developing a new clustering algorithm, you may save yourself an enormous amount of work by extending a ClodHopper base class.