Showing 8 open source projects for "artificial intelligence java source code"

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    PageDNA: Web-to-Print eCommerce Software

    eCommerce for Print, Signs and Fulfillment Trusted by In‑Plants and Commercial Print Leaders

    PageDNA enables successful eCommerce strategies for commercial print sales organizations, internal print shops, and brand owners. PageDNA’s online ordering platform increases print volume while decreasing touch costs for all stakeholders: clientele, print operations, and the organizations they support.
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  • Simplify your short-term rental business with our Channel Manager Icon
    Simplify your short-term rental business with our Channel Manager

    Boost your vacation rental revenue

    Manage your vacation rental like a pro with features that streamline, sync and simplify - all from one intuitive software.
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  • 1
    Sourcery AI Code Review

    Sourcery AI Code Review

    Instant AI code reviews

    Sourcery is an AI-powered code assistant designed to help developers write cleaner, more maintainable Python code by suggesting real-time refactorings, improvements, and best-practice rewrites directly in popular editors and IDEs. Instead of just offering autocomplete, Sourcery analyzes existing functions and code patterns to provide context-aware suggestions that can simplify logic, reduce duplication, improve naming, and correct anti-patterns, helping developers adhere to idiomatic style...
    Downloads: 0 This Week
    Last Update:
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  • 2
    Kodus

    Kodus

    AI code reviews, just like your senior dev would do

    Kodus-AI is a framework for building, training, and deploying intelligent agents and models, especially focusing on practical AI workflows for businesses and automation. It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move...
    Downloads: 10 This Week
    Last Update:
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  • 3
    Matter AI

    Matter AI

    Matter AI is open-source AI Code Reviewer Agent

    Matter AI is an AI-powered platform designed to enhance productivity through automated content generation, data analysis, and decision support. It leverages machine learning models to process text, analyze patterns, and generate insights, making it suitable for businesses looking to optimize data-driven decision-making. Matter AI integrates with various data sources and provides customizable AI workflows tailored to different industries.
    Downloads: 4 This Week
    Last Update:
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  • 4
    ThinkReview

    ThinkReview

    AI-powered code reviews for GitLab & Azure DevOps. Zero setup. Powered

    I Copilot for Gitlab and Azure DevOps Merge requests (MRs) and Pull Requests (PRs) in your browser. The extension Summarises merge requests , provided suggestions and find potential security issues , provide smart questions to dive deeper and chat with your pull requests The extension works out of the box without any complex setup - Supports custom Self hosted Gitlab as well as gitlab.com and gitlab enterprise Enhance your GitLab MRs and Azure Devops PRsworkflows with automatic...
    Downloads: 17 This Week
    Last Update:
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  • LinkSquares: All-in-One Contract Management Platform Icon
    LinkSquares: All-in-One Contract Management Platform

    #1 Customer Rated CLM Any Contract. Every Department. One Platform.

    LinkSquares is the leading Contract Lifecycle Management (CLM) software designed to help legal, procurement, and business operations teams master the entire contract lifecycle, from creation to execution and renewal. The platform transforms how companies manage agreements by centralizing data, automating routine work, and providing actionable insights powered by AI. This single, connected source of truth helps teams eliminate manual processes, streamline workflows, boost visibility, and ensure compliance across thousands of contracts, ultimately reducing risk and administrative burden.
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  • 5
    Reviewpad

    Reviewpad

    Next generation pull requests and issues

    Reviewpad is a service to automate pull requests and issues workflows. The workflows are specified in a YML-based configuration language described in the official documentation. In Reviewpad, you can automate actions over the pull requests and issues. With technological progress depending on the human ability to create and modify software systems, Reviewpad was founded to allow developers to safely contribute to any codebase as fast as possible. Developers deserve a better experience and...
    Downloads: 0 This Week
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  • 6
    Codeball AI

    Codeball AI

    AI Code Review that finds bugs and fast-tracks your code

    Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. Save time by fast-tracking PRs that are easy to review. Fully...
    Downloads: 8 This Week
    Last Update:
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  • 7
    DeepCode for Visual Studio Code

    DeepCode for Visual Studio Code

    DeepCode extension for Visual Studio Code

    DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers...
    Downloads: 3 This Week
    Last Update:
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  • 8
    Medical Datasets (In a text file, with space separated values) can be loaded to the system. By choosing either one of the two classifiers, Neural network or Decision Tree, the system can be trained and evaluated.
    Downloads: 0 This Week
    Last Update:
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