Search Results for "python neural network"
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Showing 9 open source projects for "python neural network"
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ANE Training
Training neural networks on Apple Neural Engine via APIs
ANE Training is an experimental research project that demonstrates how to train neural networks directly on Apple’s Neural Engine by leveraging reverse-engineered private APIs that are normally inaccessible to developers. The repository implements a from-scratch transformer training pipeline capable of running both forward and backward passes on ANE hardware without relying on CoreML, Metal, or GPU acceleration. It explores the internal software stack of the Apple Neural Engine by... -
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Packet Peeper
...has moved to packetpeeper.org
Packet Peeper is a network protocol analyzer (or 'packet sniffer') for Mac OS X. Its features include TCP stream reassembly, privilege separation, simultaneous capture sessions, filters, Python plugins and support for pcap capture files. -
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The Open Descent Foundation (ODF) is a community for developers, who want to help to create open source programs, tools, etc. for the famous games Descent1, -2 or -3. Everyone can join the ODF if he accepts the idea of writing open source programs.
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Roundware
a contributory, location-aware media platform for us all
This is Roundware V1. For V2, please see GitHub repository: https://github.com/hburgund/roundware-server Roundware is a client/server pair for creating participatory location-sensitive audio experiences. It was initially developed for the sound art installation ROUND, by Halsey Burgund, exhibited at the Aldrich Contemporary Art Museum. Development for version 2 has been handled privately for a variety of reasons, but will be released soon! Please contact us if you need code sooner. -
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MacVisSTA: Macintosh Visualization for Situated Temporal Analysis. This is an open source system designed for Mac OS X. This software permits visualization of multiple time-synchronized videos in conjunction with one or more graphical plots/annotations.
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A class library written in Objective-C++ for building models of connectionist networks (neural networks). The class-hierarchy is designed to be maximally general and expandable, but also to support specific types of network.
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ServicemarX allows you to easily discover, bookmark, and share network services. It extends Bonjour (formerly known as Rendezvous) by expanding its scope Internet-wide. ServicemarX also enables Tiger's Wide Area capabilities. (full source in CVS below)
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