Search Results for "python neural network"
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Showing 8 open source projects for "python neural network"
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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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Debian Unstable/testing alpha.
Pre-Alpha Console distro for high performance Linux computing.
Basic Debian INTEL/AMD HPC console/desktop multi purpose. Linux for software devs/QA and thin laboratory clusters. MIC hardware, NUMA and live network memory and full IPv6 are supported. Final alpha release features: ======== * Usb image * General debian repos * VM optimizations * Hugepages by default * CGROUPs optimized by default * ALSA * Latest Debugging / Baremetal kernels * Full Haswell and MIC support in test * Full optimized python support * Full optimized perl support * Java compliance * IPv6 full stack with IPsets * Multipath storage * Overclocking tools * Student/Developer scripts. ... -
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PlexBench is a cross-platform, web-enabled, analysis tool that is driven by a scalable backpropagation feed-forward neural network. It uses embedded Perl for scripting and is written in the style of an in-process Component Object Model (COM) C++ program.
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Naraio is LAMP like software. It contains Apache, MySQL, PHP, Perl, Openssl, Phpmyadmin, OpenLDAP, Subversion, Ruby, Python, Phpldapadmin, and Trac. Trac and Subversion are authenticates user with integrated ldap. Naraio is easy, secure and flexible.
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YES Linux a distribution that is focused on ease of use, user experience, and the internet. In 3 screens a secure server is installed and administered from a browser. A user should not have to use the console, but can if they wish.
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XAMPLE creates a separate, encrypted and independent LAMP environment on a system that does or does not already run a web server and database. It is useful to provide a customized environment for software refusing to work with the installed LAMP stack.
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EurekA is a knowldege base system primarily developed in python with MySQL as the database, SQLObject module as the DB API and CherryPy+Genshi as the frontend. The main aim of this project is to provide a dynamic Knowldege Base system that caters to the
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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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