Search Results for "linux ai"
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Showing 12 open source projects for "linux ai"
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Glean
A self-hosted RSS reader and personal knowledge management tool
Glean is a self-hosted RSS reader and personal knowledge management platform designed to help information-heavy users efficiently aggregate, browse, and organize content from feeds. It centralizes RSS/Atom subscriptions, offering clean reading views, tagging, and organization features such as folders and bookmarks, while giving users full control over their data by deploying on their own infrastructure. Glean also includes real-time background synchronization, enabling feeds to update at... -
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TrendRadar
AI-driven public opinion trend monitor with multi-platform aggregation
TrendRadar is an AI-powered trend and hotspot tracking system that aggregates information from dozens of news, social, and content platforms to help users cut through information overload and focus on what matters. It automatically crawls and monitors trends across 30+ sources with smart filtering, keyword triggers, sentiment analysis, and natural language summarization to give actionable insights. The tool supports multiple alert modes—such as daily summaries, incremental change monitoring,... -
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MentDB Projects
Generalized Interoperability and Strong AI
MentDB is an open-source platform driving research into next-generation AI and universal data exchange. Our architecture is built around the revolutionary Mentalese Query Language (MQL). MentDB Weak (Generalized Interoperability): A unified data layer enabling seamless data exchange and application integration (SOA, ETL, Data Quality). We eliminate data silos through a single, generalized data language. MentDB Strong (Strong AI / AGI): The framework for exploring and building Machine... -
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SSWAP
Simple Semantic Web Architecture and Protocol
SSWAP (Simple Semantic Web Architecture and Protocol; pronounced "swap") is an architecture, protocol, and platform that uses reasoning to semantically integrate disparate data and services on the web. Running live at http://sswap.info. -
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ajile
Advanced JavaScript Importing & Loading Extension
ajile: Advanced JavaScript Importing & Loading Extension allows developers to easily create unique namespaces for JavaScript modules and quickly define dependencies that allow scripts to automatically load and import each other as needed. -
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The Secure Mobile Agents (SeMoA) platform constitutes a secure runtime environment for Java-based mobile software agents.
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Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.
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Scan, the Semantic Content ANnotator, is a semantic pipeline that helps connecting information extraction tools to semantic database. UIMA-based, it allows easy plugin-writing: information extraction, ontology control, store in RDF Repositories.
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Iris is an interface for monitoring multiple pages and RSS files for changes. You can affect keywords or regexp to each web-page to receive mail alert. Version 6.6 is a web based application. Since version 7.2 it's a Perl-gtk application
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MMI - Tethys is a framework to facilitate interoperability among environmental systems. It facilitates creation of metadata, data and Web Services following standards. It is currently based on JAVA, AXIS and ANT.
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The success of the Internet has made it possible to access a large amount of information providers world-wide. However, for the customer it is not easy to cope with this new richness of information, due to the heterogeneity and the missing transpar
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Fitbit WebService
STEROID for your next health & fitness app!
A web service built on top of Fitbit API's to ease custom web development. This has been a small part of my work in creating an AI for myself. I had to put together a lot of research in finding the right elements to have this final web service which is stress tested. I hope this will ease the life of many software engineers who aspire to build on top of Fitbit API's.
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