Showing 11 open source projects for "artificial intelligence projects in java"

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    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
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  • Sevocity EHR Icon
    Sevocity EHR

    Tailor-made for all-sized medical practices.

    Sevocity EHR is a cloud-based ONC and Stage 2 certified electronic health record (EHR) solution. Tailor-made for small and midsized medical practices, Sevocity EHR enables users to streamline their clinical operations, manage practice management workflows, and write and share medical prescriptions electronically. Key features include query by clinical data, real-time MU dashboard, reminder call scheduling, billing service, electronic medical bills, patient portal, communication management, compliance and record management, and more.
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  • 1
    Best-of Machine Learning with Python

    Best-of Machine Learning with Python

    A ranked list of awesome machine learning Python libraries

    This curated list contains 900 awesome open-source projects with a total of 3.3M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! General-purpose machine learning and deep learning...
    Downloads: 1 This Week
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  • 2
    Stable Baselines3

    Stable Baselines3

    PyTorch version of Stable Baselines

    Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of Stable Baselines. You can read a detailed presentation of Stable Baselines3 in the v1.0 blog post or our JMLR paper. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around...
    Downloads: 2 This Week
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  • 3
    ViZDoom

    ViZDoom

    Doom-based AI research platform for reinforcement learning

    ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community....
    Downloads: 2 This Week
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  • 4
    Stable Baselines

    Stable Baselines

    A fork of OpenAI Baselines, implementations of reinforcement learning

    Stable Baselines is a set of improved implementations of reinforcement learning algorithms based on OpenAI Baselines. You can read a detailed presentation of Stable Baselines in the Medium article. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new...
    Downloads: 0 This Week
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  • Dragonfly | An In-Memory Data Store without Limits Icon
    Dragonfly | An In-Memory Data Store without Limits

    Dragonfly Cloud is engineered to handle the heaviest data workloads with the strictest security requirements.

    Dragonfly is a drop-in Redis replacement that is designed for heavy data workloads running on modern cloud hardware. Migrate in less than a day and experience up to 25X the performance on half the infrastructure.
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  • 5
    Project Malmo

    Project Malmo

    A platform for Artificial Intelligence experimentation on Minecraft

    ...The Malmo platform is a sophisticated AI experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
    Downloads: 3 This Week
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  • 6
    The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit:...
    Downloads: 0 This Week
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  • 7

    cerrla

    The CERRLA algorithm, developed by Sam Sarjant

    This project contains the files required to run the Cross-Entropy Relational Reinforcement Learning Agent (CERRLA) algorithm. Note that a copy of the JESS rules engine will also be required.
    Downloads: 0 This Week
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  • 8
    The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos
    Downloads: 0 This Week
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  • 9
    PIQLE is a Platform Implementing Q-LEarning (and other Reinforcement Learning) algorithms in JAVA. Version 2 is a major refactoring. The core data structures and algorithms are in piqle-coreVersion2. Examples are in piqle-examplesVersion2. A complete doc
    Downloads: 0 This Week
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  • Never misplace a package or lose track of a delivery. Icon
    Never misplace a package or lose track of a delivery.

    PackageX uses computer vision technology to track packages and assets with a simple photo

    Simply "snap, notify and sign." PackageX is a simple yet powerful last-yard solution that will streamline the way you manage inbound deliveries, saving you from manually notifying the recipients and ultimately improving workplace productivity. The app uses Machine Learning and state of the art AI algorithms to extract information from package labels (even handwritten labels), and to match and route deliveries to the correct recipients. Lastly, the app collects signatures and notifies the recipient when the package is picked up, keeping everyone in the loop.
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  • 10
    RL Poker is a study project Java implementation of an e-soft on-policy Monte Carlo Texas Hold'em poker reinforcement learning algoritm with a feedforward neural network and backpropagation. It provides a graphical interface to monitor game rounds.
    Downloads: 0 This Week
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  • 11
    The ultimate Reinforcement Learning Simulator!!!
    Downloads: 0 This Week
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