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Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.
The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
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An implementation of the Memory Prediction Framework. For more information on memory prediction framework (aka HTM – Hierarchical Temporal Memory) go to http://www.numenta.com which is a company of Jeff Hawkins, the inventor of the theory.
Content Addressable Memory, Multi-Variate Statistics, Data Mining Includes analyzing datasets, extracting patterns, creating empirical expert system. Computes joint probabilities and implements a "belief" as the solution of an equilibrium equation
Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.
Torch5 provides a matlab-like environment for state-of-the-art machine learning algorithms. It is easy to use and provides a very efficient implementation, thanks to a easy and fast scripting language (Lua) and a underlying C++ implementation.
The E* algorithm is a path planner for (mobile) robotics. Unlike A*, which constrains movements to graph edges, it produces smooth trajectories by interpolating between edges. Like D*, it supports dynamic replanning after local path cost changes.
Parallel Reinforcement Evolutionary Artificial Neural Networks (PREANN) is a framework of flexible multi-layer ANN's with reinforcement learning based on genetic algorithms and a parallel implementation (using XMM registers and NVIDIA's CUDA).
The Tensor Voting Framework is a powerful technique for perceptual grouping, manifold learning, etc. It has proved to be a useful tool in the Computer Vision community. OpenTVF is an open source implementation of TVF.
ROS repository for human-robot engagement package, developed at Worcester Polytechnic Institute. Currently contains ROS stack for recognizing and generating connection events. This work is supported by the NSF awards IIS-0811942 and IIS-1012083.
Yann is Yet Another Neural Network. Yann is a library to create fast neural networks. It is also a GUI to easily create, edit, train, execute and investigate networks. Multiple topologies, runtime properties and ensemble learning are supported.
StateCore is a generic finite state machine (FSM), based on the state pattern and written in C++. - Project: ceStateCore.sourceforge.net - CorEngine Blog: CorEngine.wordpress.com
A branch-and-prune method to find all solutions to systems of nonlinear equations. The number of variables must equal the number of equations. The variables must have proper lower and upper bounds. The solver has an interface to the AMPL environment.
ManFieLd is an easy-to-use framework to develop filtering applications for Distributed System, relieving the burden of the developer to write the support code for the filtering methods.
Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.
Orca is a component-based robotic framework. Its aim is to allow creation of complex robotic systems, from single vehicle architectures to distributed sensor networks, by easily connecting new components to reusable components from the Orca repository.