Search Results for "framework python" - Page 7

The Flamenco search and browse interface framework uses hierarchical faceted metadata to allow users to both refine and expand queries, while maintaining a consistent representation of a collection and seamlessly integrating keyword queries.

PyGeo is a dynamic 3d geometry framework written in Python, rendered with VPython.

A configurable knowledge management framework. It works out of the box, but it's meant mainly as a framework to build complex information retrieval and analysis systems. The 3 major components: Crawler, Analyzer and Indexer can also be used separately.

A project to develop an integrated and open bioinformatics framework and environment.

openGPR is a framework for the management, processing and 2D/3D-visualization of ground penetrating radar (GPR, georadar) data. It interoperates with existing tools like Seismic Unix, with a special focus on georadar applications.

Educational game framework supporting board games, strategy games, and other grid-based game boards. Currently uses Python/wxPython as the application language/library. C++ libs included to help create AI for the various games.

python enteprise integration framework project. Powerfull class library based on EAI patterns and a modeling and simulation tool.

Pena is an acronym for "Pena Encryption for Automata". This framework will help you to run encrypted representations of programs.

PyExp is a Python framework to develop programs driving physical experiments, dealing with Physical Elements in the high layer and translating this into actions on devices or groups of devices on the low layer.

IMOOSE is intended as a general purpose application framework for the development of Finite Element solvers and related tools. It mainly focuses on electromagnetic problem arising from the design of electrical machines.

Jester is a gesture / stroke recognition framework for Python, written in Python.

The Genetic Architecture Framework is intended to explore and experiment with artificial life techniques using a genetic base for the physical and neural networks for the brain, in a game based simulated world.

A python library for handling and analyzing biological sequence annotations as described in GFF files (General Feature Format). The library is intended to be a complete framework for this file format.

pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...

A Genetic Algorithm Training System in Python. Gatspy provides the framework, the user provides the error (fitness) function. Gatspy will evolve a solution that attempts to minimize the error.

ACF is a framework for writing model-checkers. ACF is built on the fundamental observation that the structure of most model-checking algorithms is independent of the formalism used to describe the system.

The LisBON Framework is an adaptable framework for developing new parallel Memetic Algorithms (hybrid search algorithms for efficiently solving optimisation problems).

A Graphical Editing Framework(GEF), for Python. It provides a canvas similar to wxArt2D and a editing framework based on MVC. The framework can be used to develop scientific and engineering tools that require graphical editing.

The co-simulation adapation platform serves as programming framework and middleware to enable coupling of distributed, heterogeneous numerical models. The framework facilitates the adaptation and integration of new sub-models into a common simulation platform.

A laboratory information management system (LIMS) geared towards academic research groups in the life sciences. Written in Python and using the Django framework, you run this software on your own server.

ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...