Showing 1347 open source projects for "linux-gpib"

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    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

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  • 1
    Netflix Maestro

    Netflix Maestro

    Netflix’s Workflow Orchestrator

    Maestro is a large-scale workflow orchestration platform originally developed by Netflix to coordinate complex data processing and machine learning workflows across distributed systems. The system acts as a general-purpose workflow orchestrator that manages the execution, scheduling, monitoring, and recovery of large pipelines used for analytics and AI operations. It was designed to support the demanding internal infrastructure of Netflix, where thousands of workflows must process massive...
    Downloads: 1 This Week
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  • 2
    Agents-Flex

    Agents-Flex

    Agents-Flex is an elegant LLM Application Framework like LangChain

    Agents-Flex includes a variety of network protocols for connecting LLMs, such as HTTP, SSE and WS. Its simple and flexible design allows developers to easily connect to various LLMs, including OpenAI, LLama, and other AI. Agents-Flex provides a rich set of development templates and Prompt Frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. Developers can also customize their own unique prompt templates. Agents-Flex has a very flexible Function Calling component. It supports local method...
    Downloads: 1 This Week
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  • 3
    GROBID

    GROBID

    A machine learning software for extracting information

    GROBID is a machine learning library for extracting, parsing, and re-structuring raw documents such as PDF into structured XML/TEI encoded documents with a particular focus on technical and scientific publications. First developments started in 2008 as a hobby. In 2011 the tool has been made available in open source. Work on GROBID has been steady as a side project since the beginning and is expected to continue as such. Header extraction and parsing from article in PDF format. The...
    Downloads: 1 This Week
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  • 4
    RuoYi AI

    RuoYi AI

    Enterprise AI platform for building, deploying, and managing apps

    RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations...
    Downloads: 1 This Week
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

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  • 5
    Stanford CoreNLP

    Stanford CoreNLP

    Stanford CoreNLP, a Java suite of core NLP tools

    CoreNLP is your one stop shop for natural language processing in Java! CoreNLP enables users to derive linguistic annotations for text, including token and sentence boundaries, parts of speech, named entities, numeric and time values, dependency and constituency parses, coreference, sentiment, quote attributions, and relations. CoreNLP currently supports 6 languages, Arabic, Chinese, English, French, German, and Spanish. The centerpiece of CoreNLP is the pipeline. Pipelines take in raw text,...
    Downloads: 1 This Week
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  • 6
    Wanaku

    Wanaku

    Wanaku MCP Router

    Wanaku is an MCP Router designed to connect AI-enabled applications using the Model Context Protocol. Built on top of Apache Camel and Quarkus, it offers unmatched connectivity, speed, and reliability for AI agents, facilitating seamless integration across various services and platforms. ​
    Downloads: 0 This Week
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  • 7
    Azure CLI MCP

    Azure CLI MCP

    Talk with Azure using MCP

    An MCP server that enables AI assistants to interact with Microsoft Azure via the Azure CLI, allowing tasks such as listing resources, checking configurations, fixing issues, and creating new resources through conversational commands. ​
    Downloads: 0 This Week
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  • 8
    Apache OpenNLP

    Apache OpenNLP

    Apache OpenNLP

    Apache OpenNLP is a machine learning-based NLP library that provides tools for text-processing tasks such as tokenization, sentence segmentation, and named entity recognition.
    Downloads: 0 This Week
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  • 9
    Telegram Bot Java Library

    Telegram Bot Java Library

    Java library to create bots using Telegram Bots API

    A simple-to-use library to create Telegram Bots in Java.
    Downloads: 0 This Week
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    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

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  • 10
    Wren Engine

    Wren Engine

    The Semantic Engine for Model Context Protocol(MCP)

    Wren Engine is a semantic engine designed to empower Model Context Protocol (MCP) clients and AI agents by providing accurate, contextual, and governed access to business data. It serves as a bridge between large language models (LLMs) and enterprise systems, facilitating seamless integration and interaction. ​
    Downloads: 0 This Week
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  • 11
    JAI Workflow

    JAI Workflow

    Build programmatically custom agentic workflows, AI Agents, RAG system

    JAI-Workflow is a framework for building and managing machine learning workflows, streamlining the process from data ingestion to model deployment.
    Downloads: 0 This Week
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  • 12
    elasticsearch-learning-to-rank

    elasticsearch-learning-to-rank

    Plugin to integrate Learning to Rank

    The Elasticsearch Learning to Rank plugin uses machine learning to improve search relevance ranking. It's powering search at places like Wikimedia Foundation and Snagajob.
    Downloads: 0 This Week
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  • 13
    FIT Framework

    FIT Framework

    An enterprise-level AI development framework

    FIT Framework is an open-source infrastructure designed to support the development, training, and evaluation of machine learning and AI models through a modular and scalable architecture. It aims to streamline the lifecycle of AI systems by providing standardized components for data processing, model training, evaluation, and deployment. The framework is particularly useful for research and production environments where reproducibility and consistency are critical, as it enforces structured...
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  • 14
    Useful Java links

    Useful Java links

    A list of useful Java frameworks, libraries, software and hello worlds

    Useful Java links repository is a curated collection of educational resources, frameworks, tools, and documentation related to Java programming and the broader Java ecosystem. The project organizes hundreds of links to libraries, development frameworks, tutorials, and technical references that are useful for both beginner and advanced Java developers. These resources cover many areas of software development, including web frameworks, testing libraries, concurrency tools, build systems,...
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  • 15
    EFAK-AI

    EFAK-AI

    A AI-Driven, Distributed and high-performance monitoring system

    EFAK (Eagle For Apache Kafka) is an open-source monitoring and management platform designed to provide comprehensive visibility and operational control over Apache Kafka clusters through a unified web interface. The project focuses on simplifying Kafka administration by offering real-time insights into cluster health, performance metrics, and consumer activity, allowing engineers to quickly diagnose issues and optimize system behavior. It integrates advanced features such as intelligent...
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  • 16
    Kodezi Chronos

    Kodezi Chronos

    Kodezi Chronos is a debugging-first language model

    Kodezi Chronos is a research project focused on developing a specialized language model designed specifically for debugging software and understanding large code repositories. Unlike general-purpose language models that focus primarily on code generation, Chronos is built to diagnose and repair bugs by analyzing complex relationships across files within a codebase. The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate...
    Downloads: 0 This Week
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  • 17
    Regex

    Regex

    Generate matching and non matching strings based on regex patterns

    Generate matching and non-matching strings. This is a java library that, given a regex pattern, allows to generation of matching strings. Iterate through unique matching strings. Generate not matching strings. Follow the link to Online IDE with created project: JDoodle. Enter your pattern and see the results. By design a+, a* and a{n,} patterns in regex imply an infinite number of characters should be matched. When generating data, that would mean values of infinite length might be...
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  • 18
    Deep Chat

    Deep Chat

    Customizable AI chat component for websites with API support

    Deep Chat is a highly customizable web component designed to simplify the integration of AI-powered chat interfaces into websites. It allows developers to embed a fully functional chatbot using minimal setup, while still offering extensive control over behavior, appearance, and integrations. Deep Chat supports connections to a wide range of AI services as well as custom backends, enabling flexible deployment for different use cases. It is built as a framework-agnostic solution, meaning it...
    Downloads: 0 This Week
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  • 19
    Qodo Cover

    Qodo Cover

    AI tool that generates tests to improve code coverage quickly

    Qodo Cover is an open source developer tool designed to automate the creation of unit tests using generative AI, helping teams improve code coverage with minimal manual effort. It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas. It follows an...
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  • 20
    Jlama

    Jlama

    Jlama is a modern LLM inference engine for Java

    Jlama is a modern inference engine written entirely in Java that enables developers to run large language models locally within Java applications. Unlike frameworks that require external APIs or remote services, Jlama performs inference directly on a machine using pre-trained models. This allows organizations to integrate generative AI features into their systems while maintaining full control over data privacy and infrastructure. The engine supports a wide range of open-source model...
    Downloads: 0 This Week
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  • 21
    Agent Development Kit (ADK) for Java

    Agent Development Kit (ADK) for Java

    An open-source, code-first Java toolkit

    Google’s Agent Development Kit for Java is an open-source toolkit that helps developers design, evaluate, and deploy advanced AI agents using the Java programming language. The framework follows a code-first approach that treats agent development as a structured software engineering task rather than a collection of prompt scripts. It provides abstractions and tools that allow developers to create agents capable of executing complex workflows, calling tools, and interacting with external...
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  • 22
    Tribuo

    Tribuo

    Tribuo - A Java machine learning library

    Tribuo* is a machine learning library written in Java. It provides tools for classification, regression, clustering, model development, and more. It provides a unified interface to many popular third-party ML libraries like xgboost and liblinear. With interfaces to native code, Tribuo also makes it possible to deploy models trained by Python libraries (e.g. scikit-learn, and pytorch) in a Java program. Tribuo is licensed under Apache 2.0. Remove the uncertainty around exactly which artifacts...
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  • 23
    Spring AI Alibaba Examples

    Spring AI Alibaba Examples

    Spring AI Alibaba examples for building and testing AI apps

    Spring AI Alibaba Examples provides a collection of example projects that demonstrate how to use Spring AI and Spring AI Alibaba across different scenarios, from basic setups to more advanced AI applications. It is designed to help developers understand core concepts, explore practical implementations, and follow best practices when building AI-powered systems using the Spring ecosystem. Each module focuses on a specific use case such as chat, image processing, audio handling, graph...
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  • 24
    Scene Framework

    Scene Framework

    Android Single Activity Framework compatible with Fragment

    Scene appears to be a ByteDance-hosted project — though at first glance its name is generic, implying it may relate to “scenes,” “rendering,” “storyboarding,” or perhaps “event handling.” Given ByteDance’s broad portfolio, Scene could be an internal or external library for structuring application “scenes” (UI, media, game, or module-level) or orchestrating workflows in a modular fashion. The repository may aim to help developers manage complex state, transitions, or UI/navigation flows in...
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  • 25
    Java Telegram Bot API

    Java Telegram Bot API

    Telegram Bot API for Java

    Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to Telegram's Bot API. Get customized notifications and news. A bot can act as a smart newspaper, sending you relevant content as soon as it's published. Integrate with other services. A bot can enrich Telegram chats with content from external services. Accept payments from Telegram users. A bot can offer...
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