Search Results for "offline artificial intelligence\" - Page 2
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Showing 40 open source projects for "offline artificial intelligence\"
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PMG is a low-code software platform that allows users to configure automation solutions and business applications to drive digital transformation initiatives. From streamlining business processes through automation, to integrating existing systems and filling in point solution functionality gaps, to delivering a collaborative workspace and unified user experience – PMG’s low-code platform does it all without coding. Business users as well as IT resources are empowered to configure, deploy, and maintain solutions that meet their company’s specific needs.
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Paligo is an end-to-end Component Content Management System (CCMS) solution for technical documentation, policies and procedures, knowledge management, and more.
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PCP (Pattern Classification Program) is an open-source machine learning program for supervised classification of patterns. PCP is a binary executable running on Linux and Windows (under Cygwin environment).
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Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
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D.R.I.V.E. - Digraph Research Inside Virtual Environments. A set of library/tools for the research of available paths inside VRML worlds.
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CompLearn is a general-purpose compression-based machine learning system that uses data compression to learn or data mine patterns in arbitrary data.
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PRTG Network Monitor is an all-inclusive monitoring software solution developed by Paessler. Equipped with an easy-to-use, intuitive interface with a cutting-edge monitoring engine, PRTG Network Monitor optimizes connections and workloads as well as reduces operational costs by avoiding outages while saving time and controlling service level agreements (SLAs). The solution is packed with specialized monitoring features that include flexible alerting, cluster failover solution, distributed monitoring, in-depth reporting, maps and dashboards, and more.
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M-ICE is a modular hostbased intrusion detection framework. It is used as middleware to close the gap between IDS research and IDS development. M-ICE consists of various parts that can be connected together by using network-or interprocess-communication
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This project is an off-shoot of the EGADSS project. The nature of the changes made to the PD CLIPS code means a separate project would be best. This is an FOSS version of the PD CLIPS Engine to include such features as backwards chaining and more....
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The TreeQ package is a set of C-language applications that implement a automatic machine learning algorithm based on a tree-structured classifier. This approach is particularly effective for high-dimensional continuous data such as audio and video.
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Plan more projects with Worksection. Use Gantt chart and Kanban boards to organize your projects, get your team onboard and assign tasks and due dates.
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Particle Swarm Optimization toolkit (with GUI) - Allows you to implement PSO algorithm for optimization of engineering/finance/management systems.
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Robocup log analyser. Analyses log files generated for studying passing in Robocup and creates spreadsheets.
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VFML -- Very Fast Machine Learning toolkit. A collection of tools, learners, and APIs for working with high-speed data streams and very large data sets.
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Ruby SVM is a Ruby binding to the very popular and highly useful libsvm library (released under a seperate license) This allows you to effortlessly experiment with machine learning, in particular Support Vector Machines, in Ruby. SVM's have found use in
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The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.
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ai applications,or 'aiapps', is a suite of applications applying algorithms and methods from the domain/field of artificial intelligence, machine learning, evolutionary computation, neural nets etc....to real world problems