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.
Salad (short for Letter Salad) is an efficient and flexible implementation of the well-known anomaly detection method Anagram by Wang et al. (RAID 2006). Salad is based on n-gram models, that is, data is represented as all of its substrings of length n. During training these n-grams are stored in a Bloom filter. This enables the detector to represent a large number of n-grams in little memory and still being able to efficiently access the data. Salad extends Anagram by allowing various n-gram types, a 2-class version of the detector for classification, and various model analysis modes.
The Common Pipeline Library provides a highly robust set of functions for manipulating signals and images. It is primarily intended for the building of VLT instrument pipelines, but is also useful for generic data handling. It includes a number of useful low-level data types, medium-level data access methods, standard implementations of commonly-used signal processing and data reduction tasks, and dynamic loading of "recipes" for data processing.
SHTns is a high-performance Spherical Harmonic Transform library. It was designed for numerical simulation (fluid flows, mhd, etc.) in spherical geometries, but can be used for any kind of problem involving scalar or vector spherical harmonics. It is very fast, thanks to careful vectorization and runtime tuning. It supports multi-threaded transforms via OpenMP. It features scalar and vector transforms, synthesis and analysis, and flexible truncation and normalization. A Python interface is included.
MakeHuman is software for the modelling of three-dimensional humanoid characters. Features that make this software unique include a highly intuitive GUI and a high quality mesh, optimized to work in subdivision surface mode (for example, Zbrush). Using MakeHuman, a photo-realistic character can be modelled in less than 2 minutes.
Sally is a tool for mapping a set of strings to a set of vectors. This mapping is referred to as embedding and allows techniques of machine learning and data mining to be applied for the analysis of string data. It can be used with data such as text documents, DNA sequences, or log files. The vector space model or bag-of-words model is used. Strings are characterized by a set of features, where each feature is associated with one dimension of the vector space. Occurrences of the features in each string are counted. Alternatively, binary or TF-IDF values can be computed. Vectors can be output in plain text, LibSVM, or Matlab format.
GRAL is a library for creating high quality plots and charts in Java. Many plot types are available like scatter plot, bubble plots, line plots, area plots, pie charts, and bar charts. Additionally, GRAL can exchange and process data (smoothing), and various plug-ins allow the import and export of data and graphics to formats like CSV, JPEG, PNG, EPS, PDF, or SVG.
Malheur is a tool for the automatic analysis of malware behavior (program behavior recorded from malicious software in a sandbox environment). It is designed to support the regular analysis of malicious software and the development of detection and defense measures. It allows for identifying novel classes of malware with similar behavior and assigning unknown malware to discovered classes. It can be applied to recorded program behavior of various formats as long as monitored events are separated by delimiter symbols, e.g. as in reports generated by the popular malware sandboxes CWSandbox, Anubis, Norman Sandbox, and Joebox.
iLAP (Laboratory data management, Analysis, and Protocol development) is a workflow-driven information management system specifically designed to create and manage experimental protocols and to analyze and share laboratory data. The system combines experimental protocol development, wizard-based data acquisition, and high-throughput data analysis into a single, integrated system.
The Structural Proteomics Application Development Environment (SPADE) provides a community suite for developing and sharing protein structure and sequence tools. It includes a custom molecular viewer, sequence alignment editor, many reusable tools, and a chemical probing suite to support experimental verification of predicted structural models.