neptune.ai
Neptune.ai is a machine learning operations (MLOps) platform designed to streamline the tracking, organizing, and sharing of experiments and model-building processes. It provides a comprehensive environment for data scientists and machine learning engineers to log, visualize, and compare model training runs, datasets, hyperparameters, and metrics in real-time. Neptune.ai integrates easily with popular machine learning libraries, enabling teams to efficiently manage both research and production workflows. With features that support collaboration, versioning, and experiment reproducibility, Neptune.ai enhances productivity and helps ensure that machine learning projects are transparent and well-documented across their lifecycle.
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Ubuntu
Better security. More packages. Newer tools. All your open source, from cloud to edge. Secure your open source apps. Patch the full stack, from kernel to library and applications, for CVE compliance. Governments and auditors certify Ubuntu for FedRAMP, FISMA and HITECH. Rethink what’s possible with Linux and open source. Companies engage Canonical to drive down open source operating costs. Automate everything: multi-cloud operations, bare metal provisioning, edge clusters and IoT. Whether you’re a mobile app developer, an engineering manager, a music or video editor or a financial analyst with large-scale models to run — in fact, anyone in need of a powerful machine for your work — Ubuntu is the ideal platform. Ubuntu is used by thousands of development teams around the world because of its versatility, reliability, constantly updated features, and extensive developer libraries.
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Amazon Neptune
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions.
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Neptune DXP
Neptune Software's leading low-code app development platform - Neptune DXP – digitizes and optimizes business processes and user interfaces – at scale and with ease. Neptune DXP offers enterprise mobility, as well as the best low-code app development for SAP customers with the choice of no-code/low-code app development. The platform gives IT departments the right tools to build the apps they need.
Neptune DXP provides a fast, cost-effective, and future-proof way to industrialize the development of custom applications (especially SAP Fiori, SAP mobile applications), turning your IT organization into an app factory, saving time and money on enterprise app development, app integration, and enterprise app operations.
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