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.
Brimbox is a database system that was designed to bridge the gap between spreadsheets and custom databases. It is intended to be an alternative to Access and Filemaker. Although Brimbox has its own modular approach, it is customizable in the spirit of Wordpress, though it is a database interface and not a CMS.
Organic Photovoltaic Device Model is a 1D Schottky-Read-Hall based drift diffusion model specifically designed to model organic photovoltaic (OPV) devices. It can describe non-geminate recombination via two mechanisms: free-to-trap processes via an exponential tail of trap states, and free-to-free carrier processes. The model solves the drift diffusion equations for electrons and holes, Poisson's equation to calculate the potential distribution in position space, and the Schottky-Read-Hall capture escape equations for a discretized set of energy levels. The model has been used to generate a number of publications. It can simulate the following experiments often used to characterize OPV devices: JV curves (Light/Dark), Charge extraction data (Light/Dark), and Steady state recombination data (Light/Dark).
libcsdbg is a C++ exception stack tracer. When an exception is thrown, caught, and handled, libcsdbg offers the tools to create and process the exception stack trace, the path the exception has propagated up the call stack, unwinding it up to the section were it was handled. The traces are detailed with demangled function signatures and additional addr2line information (the source code file and line from which each function was called). libcsdbg can use all the well-known objective code file formats (a.out, elf, coff, ecoff, etc.) and can easily be used as the base for your own instrumentation code. libcsdbg transparently loads the symbol tables of the chosen dynamic libraries and of the executable, demangles function symbols to complete signatures, and binds function names to runtime addresses (even for the DSO symbols).
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.