Search Results for "complex system" - Page 42
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Showing 1048 open source projects for "complex system"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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The PowerPov rendering tool is more than a graphical front-end to PovRay. It includes scripting capabilities and even allows one to use embedded code in PovRay files, thus making easy to use complex and repetitive shapes.
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The intention of this project is to make a virtual file system that can be accessed through a normal web-browser. Authenticated users can upload files and download files. Complex user rights can be set on files to control access rights.
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Chronogears is an interactive, sprite-based animation system written in 100% Java. Chronogears makes used of Graphics 2D technology. The ultimate goal of Chronogears is to allow non-programmer to create high performance, interactive, complex video games
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Automated Build System Framework (ABFS) is a suite of UNIX shell scripts (BASH) to automate the building of any significantly complex software system.
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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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PHP Interview System is a easy-to-use research system to build complex survey(s), interview(s) and poll(s). The interview can be dynamic (interactive) flow. Collect and react on input. Export data for analysis.
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Adminsystems
Adminsystems CMS / Framework
Adminsystems is a tiny but very powerful Tool for Web Developers. From easy Pages with dynamic Content (CMS-Features) and Template System over complex Database Management such as Customer data management, ordering system and many more. -
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MiniMax-M2.7
Self-evolving AI model for agents, coding, and complex workflows
...M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. It also supports multi-agent collaboration through Agent Teams, allowing coordinated problem-solving across roles. Beyond engineering, it handles structured document editing (Word, Excel, PowerPoint) with high fidelity and maintains strong performance. -
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FoxyLinux is a Linux based operating system that is extremely user-friendly. With its simple to use interface, right from the start, FoxyLinux requires no technical knowledge to configure complex operating system settings.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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Shell-It
Utility for writing complex Bash scripts
Shell-It provides a bunch of utilities like logging with level control, temp dir management, asset downloading, parameter assertions, map data structures, handling of remote asset installations with custom parameters and API/CLI interface. This project was born during our job at creating smart scripts for installing complex products on tens of servers on large farms. We needed a single repository with versioned scripts/product installers so that with a simple command line on the server we... -
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AutoCloner4Oracle-SAP
Oracle RDBMS B&R Cloning Installation Systemcopy
This software help to clone complex Oracle Databases fast and with nearby no effort in EMC^2 Networker or IBM Tivoli environments. IT's also great for fast restore of database cause it generates required RMAN scripts for your needs. It also help to clone whole database with Backup plus Oracle Agents for OEM/GC/CC. It manages oratab file in AIX, Solaris and LINUX based environments and create a standard directory tree below ~/admin/$ORACLE_SID to have a look and feel for all of your... -
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Green Cloud Online portal
Green cloud: A versatile sensor based precision agriculture system, in
...Therefore, the complex analysis (Expert system analysis in accordance with world-wide data) has to be done on server. The environment data is collected via sensors is uploaded to the website -
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Math Calculator
Unix/Linux math calculator
An easy, small and handy math calculator for Unix/Linux systems. It can calculate easy and complex mathematical expressions passed as command line arguments. -
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PeerVibes is a framework for creating applications based on peer-to-peer networks. This framework provides the necessary tools and architecture to build complex applications such as collaborative work support and distributed backup.
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facile CMS
Drag and Drop CMS
Idea of CMS with bunch of hidden settings complex control panels and jungle of plugins that needs to be configured that many of you already know pushed me to throw everything i know away and start fresh. I have designed drag and drop CMS system with WYSIWYG editor. It's target is people who don't need blog, don't need heavy complex and slow CMS systems but need one simple website and it's content and it's copyright can be retained. -
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MiMo-V2.5-Pro
Flagship MoE model for long-context agents and complex coding
MiMo-V2.5-Pro is Xiaomi’s flagship Mixture-of-Experts (MoE) model built for the most demanding agentic, software engineering, and long-horizon reasoning tasks. It features approximately 1.02 trillion total parameters with 42B activated per inference, balancing extreme capability with efficient execution. The model supports a 1 million token context window, enabling it to maintain coherence across long workflows involving thousands of tool calls and multi-step reasoning chains.... -
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Archangel
A flexible, extendable content filter
Archangel is meant to be a sort of 'improved' version of dansguardian and uses the same default lists as dansguardian. It is basically dansguardian rewritten in python as an ICAP server as opposed to a proxy front-end. The benefits of archangel over dansguardian include: 1. Because it is an ICAP filter, it interfaces with squid and can do HTTPS filtering as well as regular HTTP. 2. Because it uses blocking modules and is written in python, it is extremely easy to write new modules for... -
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Monitoring tool with support to Websites, RSS, Webservices and Databases. Has notifications by email and RSS and you can access metrics like availability, latency and load time by a web-based GUI. Runs standalone with an embedded HTTP server.
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Ministral 3 14B Reasoning 2512
High-precision 14B multimodal model built for advanced reasoning tasks
...It pairs a 13.5B-parameter language model with a 0.4B vision encoder, enabling strong multimodal reasoning across both text and images. This version is specifically post-trained for reasoning tasks, making it highly effective for math, coding, STEM workloads, and complex multi-step problem-solving. Despite its scale, the model is engineered for practical deployment and can run locally on 32GB of VRAM in BF16 or under 24GB when quantized. It maintains robust system-prompt adherence, supports dozens of languages, and provides native function calling with clean JSON output for agentic workflows. The model's architecture also delivers a 256k context window, unlocking large-document analysis and long-form reasoning. -
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Gemopus
Stable fine-tuned Gemma model for structured, clear responses
...The model enhances response organization through better use of formatting, improves readability, and delivers more natural conversational outputs by removing rigid or overly mechanical tones. It also strengthens technical explanations, balancing rigor with accessibility. While not intended as a production-ready system, it serves as a high-quality local assistant for structured writing, summarization, and coding tasks. Limitations include potential hallucinations in complex domains and weaker performance compared to larger frontier models. -
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Mistral Large 3 675B Instruct 2512
Frontier-scale 675B multimodal instruct MoE model for enterprise AIMis
...It incorporates a massive 673B-parameter language MoE backbone and a 2.5B-parameter vision encoder, enabling rich multimodal understanding across text and images. The model supports dozens of languages and maintains strong system-prompt adherence, making it suitable for global and structured enterprise use. Designed for high performance, it runs on a single node of B200 or H200 GPUs in FP8, and can also operate in NVFP4 mode on H100 or A100 hardware. With a 256k context window, it excels at long-document comprehension, deep retrieval workflows, and complex knowledge-intensive tasks. -
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MiMo-V2.5
Omnimodal AI model for agents, coding, and long-context tasks
...Built on a Mixture-of-Experts architecture with approximately 309B total parameters and around 15B activated per inference, it balances high capability with efficient execution. The model natively processes text, images, video, and audio within a unified system, enabling cross-modal understanding and complex task execution in a single pipeline. With a context window of up to 1 million tokens, it can handle large documents, extended conversations, and multi-step workflows without fragmentation. MiMo-V2.5 delivers near-Pro-level performance in coding, reasoning, and agent tasks while maintaining lower cost and faster inference speeds. ... -
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Laguna M.1
Flagship Poolside model for agentic coding and software engineering
Laguna M.1 is Poolside’s flagship Mixture-of-Experts model built specifically for agentic coding, software engineering, and long-horizon autonomous workflows. It contains approximately 225.8B total parameters with 23.4B activated per token, making it substantially larger and more capable than Laguna XS.2 while maintaining efficient inference through sparse activation. Trained from scratch on roughly 30 trillion tokens using Poolside’s in-house “Model Factory” pipeline, the model focuses on...
