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.
Libpointmatcher is a modular "Iterative Closest Point" library, useful for robotics and computer vision. This library is designed with modularity and performance in mind. It provides building blocks to construct various ICP chains often seen in research. These chains can be tuned without any recompilation, and new modules can be added without modifying the core of the library.
G-Code Ripper reads g-code, scales, and rotates and/or splits the tool paths before outputting the modified tool path data to a new g-code file. It evaluates g-code expressions and parameters and interprets YZ and ZX arcs. YZ and ZX arcs are internally converted to linear motions for compatibility with splitting and rotation.
PhoNetInfo for WP8 / WP8.1 retrieves detailed technical phone and network information such as firmware version, device name, battery status, power saving status, network operator, roaming status, WiFi/WAP interface names, number of CPUs, CPU architecture, CPU features, CPU page size, high performance timer frequency, time since last device reboot, RAM, camera details (e.g., ISO, white balance), etc. All information can be exported by email, and the application's language can be changed at any time.
Kelvin is a units converter intended for scientists, teachers, and students who need a reliable tool for fast conversion. Some categories included are: acceleration, area, frequency, atomic physics, density, electrical capacitance, electromagnetic radiation, energy/work, flow, force, fuel consumption, illumination, length, luminance, luminous flux, magnetomotive force, mass, power, prefixes and suffixes, pressure and stress, specific heat, speed/velocity, temperature, thermal resistance, time, torque, viscosity (dynamic), viscosity (kinematic), volume, and dry/liquid capacity.
LibBi is used for state-space modelling and Bayesian inference on high-performance computer hardware, including multi-core CPUs, many-core GPUs (graphics processing units), and distributed-memory clusters. The staple methods of LibBi are based on sequential Monte Carlo (SMC), also known as particle filtering. These methods include particle Markov chain Monte Carlo (PMCMC) and SMC2. Other methods include the extended Kalman filter and some parameter optimization routines. LibBi consists of a C++ template library and a parser and compiler, written in Perl, for its own modelling language.