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The Serial Data Acquisition is a lightweight data acquisition system able to parse a vast majority of mostly unidirectional streams. Results are saved in a SQLite DB and accessible over XML-RPC or plain HTTP. Its design is modular and easily extendable.
This is a Python package designed to process Penn Treebank Release II-style combined trees (.mrg files) into useful objects for tree traversal, feature extraction, and statistical analysis. For more information, go to http://mrgutils.sourceforge.net
The Model Interaction Environment for Neuroscience provides tools for development, searching, editing, execution, and visualization of biophysical models, abstract mathematical models, and experimental protocols used in neuroscience research.
febrl-gen is a Java-based frontend to Febrl, an open-source data linkage system written in Python. Users can configure the parameters of a linkage project through the frontend, and febrl-gen will generate a Febrl-ready configuration file.
the pIG bulk-processes data files generated by 'popular' scientific behavioural programs, including Med Associates MedIV-PC, Coulburn TruScan and Kinder Scientific.
Using this plugin-based framework, you can instantly start working on the *brain* of your bot (irc bot, chatterbot, robot, ...). With support for db, irc, logging and programming-language independent plugins, users can easily enhance the functionality.
Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.
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Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.
Met Sportlog kun je je sportieve prestaties bijhouden via een Plone-webapplicatie. Uniek is dat er verschillende rollen zijn gedefinieerd met verschillende rechten: sporter, trainer, medicus etc. en dat de omgeving zeer flexibel is.
KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
PyPotrace is a Python programming language binding for Peter Selinger's Potrace raster to vector conversion algorithm. No separate Potrace library or application required!
Crawl a LiveJournal-based blog hosting for friends data. LiveJournal is a blog hosting engine that allows its users to list others as friends. This tool can download most of the data about friendship relations between users for later processing.
Banyan is an enterprise class, web based, information management system that helps people work collaboratively to solve complex problems. Banyan increases project performance and reduces risk through the power of collaborative clear thinking.
clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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.
PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.
This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
This program will calculate and output metrics on code written in Python. Reports can be generated in text- or XML-files. A plug-in system lets new metrics be added to the program. A set of built-in plug-ins with provide some of the most common metrics a
pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.