Search Results for "evolving neural network"
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Showing 6 open source projects for "evolving neural network"
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Red Hat Ansible Automation Platform on Microsoft AzureDeploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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BlackBelt WASTE - ipv4/Tor/i2p +AI+Voice
Modern, AI-Smart, WASTE p2p for ipv4, Tor and i2p + Voice Conference.
... Autonomic-Performance-Tuning - A Goal-Seeking Swarming-Semiotic AI *** AI Connect - AI Managed Connections. *** Self-Organising Anti-Spoofing Technology *** Geared Multi-threading, providing the smoothest performance possible *** Advanced Threat Detect and Manage Technology *** Voice Conferencing Over WASTE *** RNN - Recurring Neural Net - AI Noise Reduction -
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Neural Network signal recognition rtlsdr
Deep learning signal classification (recognition) using rtl-sdr dongle
WARNING: Outdated version here. Everything has been moved to github: https://github.com/randaller/cnn-rtlsdr -
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Jarvis Celibi
A smart bot for basic tasks.
The idea is simple. Creating a program to simulate an artificially intelligent computer capable of carrying out simple task. Jarvis Celibi 4.2 is not artificial intelligence. It is not machine learning. It is not a neural network. And it is still under development. -
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VitoshaTrade is Distributed Artificial Neural Network trained by Differential Evolution for prediction of Forex. Project development is in Sofia, Bulgaria. Vitosha is a mountain massif, on the outskirts of Sofia, the capital of Bulgaria.
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The #1 Embedded Analytics Solution for SaaS Teams.Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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Zipf's law와 Content based blog spam filtering 기법이 구두점의 남용에 의해 무력화 될 수 있음을 파악하고 Neural network을 이용한 무력화시도의 회피 알고리즘을 에뮬레이션을 통해 증명하고자 한다.
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Linasf is a PHP implementation of a SpamAssassin-like spam filter. It uses Bayesian Filters, User-defined rules and Artificial Neural Networks to obtain excellent results. Training and integration with current PHP system is very easy. (uses MySQL as DB)
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