Open Source Python Information Analysis Software for BSD
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Python Information Analysis Software for BSD
Browse free open source Python Information Analysis Software for BSD and projects below. Use the toggles on the left to filter open source Python Information Analysis Software for BSD by OS, license, language, programming language, and project status.
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja. -
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Autoplot
Autoplot is an interactive browser for data on the web
Autoplot is an interactive browser for data on the web. Give Autoplot a URL or local file name and it creates a sensible plot of the data. Autoplot allows you to interactively browse data stored in ascii, .cdf, netcdf, and many other formats. Autoplot's source has been moved to GitHub. Thanks to SourceForge for many years of hosting! -
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RISO: distributed belief networks
Distributed, heterogeneous Bayesian belief networks
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions. -
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Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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A ContextTree is a way of dynamically forming relationships between information: the same information can be viewed in different ways, depending on what you want from it.
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HORUS is a system for knowledge acquisition, hypothesis generation, inference and learning. It is an interactive, internet environment accessible to a diverse community of users (public-access or membership basis) - see also UMKAILASH project for more.
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JBoost is a simple, robust system for classification. JBoost contains implementations of several boosting algorithms in an alternating decision tree framework. In addition, JBoost provides extensible software for adding more learning algorithms.
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Modama is a new software project for processing and analysing 2d detector data (images) provided by any available detectors, mainly SAX and WAX.
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Paessler: Easy to Use With Enterprise Power. Free TrialYou shouldn't have to choose between a monitoring tool that's easy to use and one that's powerful enough for a complex environment. PRTG's low-code interface lets any admin build dashboards, set alerts and monitor devices without scripting, while custom sensors and full API access are there when your team needs deeper control. One platform, no compromise. Download a free 30-day trial now.
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Concurrent vision processing system; Toolkit for easy implementation of software concurrent vision processing sub-system. Aimed at robotic applications w/best effort realtime. System includes: capture,processing and displaying.
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Pretty Damn Quick (PDQ) analytically solves queueing network models of computer and manufacturing systems, data networks, etc., written in conventional programming languages. Generic or customized reports of predicted performance measures are output.
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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.
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The Stats Jam project is an extension to Mediawiki that allows users to embed database queries and visualisations into their wiki pages.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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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.
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This project aims to be a easy-to-use toolkit of algorithms and utilities for semantic data mining. So far all algorithms are implemented as web services and we provide widgets for their use in the Orange4WS data mining platform.
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