Search Results for "weight scale management" - Page 3

Showing 313 open source projects for "weight scale management"

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  • 1
    GridDB

    GridDB

    GridDB is a next-generation open source database

    ... with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications.
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  • 2
    WordCloud.jl

    WordCloud.jl

    Word cloud generator in julia

    ... results. Each word appears only once, and its font size is determined solely by the provided weight. Words are never repeated or shrunk artificially to fill empty spaces. It utilizes intelligent strategies and efficient nesting algorithms, implemented entirely in Julia (see Stuffing.jl). As a result, it can easily generate high-resolution word clouds.
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  • 3
    StarRocks

    StarRocks

    StarRocks is a next-gen sub-second MPP database for full analytics

    ... applications can easily handle them with StarRocks. From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios.
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  • 4
    Observable Plot

    Observable Plot

    A concise API for exploratory data visualization

    Observable Plot is a free, open-source JavaScript library to help you quickly visualize tabular data. It has a concise and (hopefully) memorable API to foster fluency — and plenty of examples to learn from and copy-paste. In the spirit of show don’t tell, below is a scatterplot of the height and weight of Olympic athletes (sourced from Matt Riggott), constructed using a dot mark. We assign columns of data (such as weight) to visual properties (such as the dot’s x), and Plot infers the rest. You...
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  • Red Hat Enterprise Linux on Microsoft Azure Icon
    Red Hat Enterprise Linux on Microsoft Azure

    Deploy Red Hat Enterprise Linux on Microsoft Azure for a secure, reliable, and scalable cloud environment, fully integrated with Microsoft services.

    Red Hat Enterprise Linux (RHEL) on Microsoft Azure provides a secure, reliable, and flexible foundation for your cloud infrastructure. Red Hat Enterprise Linux on Microsoft Azure is ideal for enterprises seeking to enhance their cloud environment with seamless integration, consistent performance, and comprehensive support.
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  • 5
    Rook

    Rook

    Storage Orchestration for Kubernetes

    Rook turns distributed storage systems into self-managing, self-scaling, self-healing storage services. It automates the tasks of a storage administrator: deployment, bootstrapping, configuration, provisioning, scaling, upgrading, migration, disaster recovery, monitoring, and resource management. Rook orchestrates the Ceph storage solution, with a specialized Kubernetes Operator to automate management. Rook ensures that Ceph will run well on Kubernetes and simplify the deployment and management...
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  • 6
    MLJBase.jl

    MLJBase.jl

    Core functionality for the MLJ machine learning framework

    Repository for developers that provides core functionality for the MLJ machine learning framework. MLJ is a Julia framework for combining and tuning machine learning models. This repository provides core functionality for MLJ.
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  • 7
    CoordinateTransformations.jl

    CoordinateTransformations.jl

    A fresh approach to coordinate transformations

    CoordinateTransformations is a Julia package to manage simple or complex networks of coordinate system transformations. Transformations can be easily applied, inverted, composed, and differentiated (both with respect to the input coordinates and with respect to transformation parameters such as rotation angle). Transformations are designed to be light-weight and efficient enough for, e.g., real-time graphical applications, while support for both explicit and automatic differentiation makes...
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  • 8
    ChainRules.jl

    ChainRules.jl

    Forward and reverse mode automatic differentiation primitives

    The ChainRules package provides a variety of common utilities that can be used by downstream automatic differentiation (AD) tools to define and execute forward-, reverse--, and mixed-mode primitives. The core logic of ChainRules is implemented in ChainRulesCore.jl. To add ChainRules support to your package, by defining new rules or frules, you only need to depend on the very light-weight package ChainRulesCore.jl. This repository contains ChainRules.jl, which is what people actually use...
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  • 9
    Keystone

    Keystone

    The most powerful headless CMS for Node.js

    The most powerful headless CMS for Node.js, built with GraphQL and React. The superpowered CMS for developers. Keystone helps you build faster and scale further than any other CMS or App Framework. Just describe your schema, and get a powerful GraphQL API & beautiful Management UI for content and data. No boilerplate or bootstrapping – just elegant APIs to help you ship the code that matters without sacrificing the flexibility or power of a bespoke back-end. Ship a backend easily without...
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  • 10
    Vespa

    Vespa

    The open big data serving engine

    Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do...
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  • 11
    Porter

    Porter

    Kubernetes powered PaaS that runs in your own cloud

    .... Automate your cloud management and focus on what matters. A traditional PaaS like Heroku is great for minimizing unnecessary DevOps work but doesn't offer enough flexibility as your applications grow. Custom network rules, resource constraints, and cost are common reasons developers move their applications off Heroku beyond a certain scale. Porter brings the simplicity of a traditional PaaS to your own cloud provider while preserving the configurability of Kubernetes.
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  • 12
    RevoGrid

    RevoGrid

    Powerful virtual data grid smartsheet with advanced customization

    Support Millions of cells and thousands of columns easy and efficiently for fast data rendering. Easy to use. For large organizations managing massive datasets. Performance and scalability to handle even the most complex data tables. Rapid prototyping with intuitive and extendable codebase. Agility to build robust data-driven applications in no time. Quickly build elegant and efficient data grids. Lightweight yet powerful architecture lets you easily scale as your needs grow.
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  • 13
    Juju

    Juju

    Orchestration engine that enables the deployment, and integration

    Juju is an open source application orchestration engine that enables any application operation (deployment, integration, lifecycle management) on any infrastructure (Kubernetes or otherwise) at any scale (development or production) in the same easy way (typically, one line of code), through special operators called ‘charms’. A charm is an operator - business logic encapsulated in reusable software packages that automate every aspect of an application's life.
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  • 14
    SciMLBase.jl

    SciMLBase.jl

    The Base interface of the SciML ecosystem

    SciMLBase.jl is the core interface definition of the SciML ecosystem. It is a low-dependency library made to be depended on by the downstream libraries to supply the common interface and allow for the interexchange of mathematical problems. The SciML common interface ties together the numerical solvers of the Julia package ecosystem into a single unified interface. It is designed for maximal efficiency and parallelism, while incorporating essential features for large-scale scientific machine...
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  • 15
    MultilayerGraphs.jl

    MultilayerGraphs.jl

    Julia package for the creation and analysis of multilayer graphs

    MultilayerGraphs.jl is a Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs. A multilayer graph is a graph consisting of multiple standard subgraphs called layers which can be interconnected through bipartite graphs called interlayers composed of the vertex sets of two different layers and the edges between them. The vertices in each layer represent a single set of nodes, although not all nodes have to be represented in...
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  • 16
    DeepH-pack

    DeepH-pack

    Deep neural networks for density functional theory Hamiltonian

    DeepH-pack is the official implementation of the DeepH (Deep Hamiltonian) method described in the paper Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation and in the Research Briefing. DeepH-pack supports DFT results made by ABACUS, OpenMX, FHI-aims or SIESTA and will support HONPAS.
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  • 17
    InfiniteOpt.jl

    InfiniteOpt.jl

    An intuitive modeling interface for infinite-dimensional optimization

    A JuMP extension for expressing and solving infinite-dimensional optimization problems. InfiniteOpt.jl provides a general mathematical abstraction to express and solve infinite-dimensional optimization problems (i.e., problems with decision functions). Such problems stem from areas such as space-time programming and stochastic programming. InfiniteOpt is meant to facilitate intuitive model definition, automatic transcription into solvable models, permit a wide range of user-defined...
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  • 18
    RCall.jl

    RCall.jl

    Call R from Julia

    R is a language for statistical computing and graphics that has been around for a couple of decades and it has one of the most impressive collections of scientific and statistical packages of any environment. Recently, the Julia language has become an attractive alternative because it provides the remarkable performance of a low-level language without sacrificing the readability and ease of use of high-level languages. However, Julia still lacks the depth and scale of the R package environment...
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  • 19
    Github Authorized Keys

    Github Authorized Keys

    Use GitHub teams to manage system user accounts and authorized_keys

    Use GitHub teams to manage system user accounts and authorized_keys. Use our ready-to-go terraform architecture blueprints for AWS to get up and running quickly. Your team can operate like a pro today. Ensure that your team succeeds by using our proven process and turnkey blueprints. Plus, we stick around until you succeed. Six parts of your infrastructure must be optimized to scale and grow with your business. When you optimize these six key parts of your DevOps strategy, you’ll not only feel...
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  • 20
    Gardener

    Gardener

    Kubernetes-native system managing the full lifecycle of Kubernetes

    ... community of collaborators and adopters. We aim to deliver a standard solution that meets the needs of our entire community and ecosystem. Gardener was born as a solution for actual and common problems such as control on the Kubernetes stack, minimizing the TCO, infrastructures pervasiveness, operating in restricted/regulated environments or bare metal, at a massive scale.
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  • 21
    Pinpoint

    Pinpoint

    APM, (Application Performance Management) tool

    Pinpoint is an APM (Application Performance Management) tool for large-scale distributed systems written in Java / PHP. Inspired by Dapper, Pinpoint provides a solution to help analyze the overall structure of the system and how components within them are interconnected by tracing transactions across distributed applications. Services nowadays often consist of many different components, communicating amongst themselves as well as making API calls to external services. How each and every...
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  • 22
    Clace

    Clace

    AppServer for containerized web app development and deployment

    Easy, lightweight application server for development and deployment of containerized web apps. Supports all languages/frameworks, and runs on Linux, Windows, and OSX. Idle apps scale down to zero. Clace™ is an Apache-2.0 licensed application server for web apps. Clace enables easy and secure hosting and management of multiple web apps written in any language/framework. Clace is cross-platform (Linux/Windows/OSX) and provides a GitOps workflow for managing web apps. Clace implements a language...
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  • 23
    FEDML Open Source

    FEDML Open Source

    The unified and scalable ML library for large-scale training

    A Unified and Scalable Machine Learning Library for Running Training and Deployment Anywhere at Any Scale. TensorOpera AI is the next-gen cloud service for LLMs & Generative AI. It helps developers to launch complex model training, deployment, and federated learning anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, easily, economically, and securely. Highly integrated with TensorOpera open source library, TensorOpera AI provides holistic support of three...
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  • 24
    OpenCompass

    OpenCompass

    OpenCompass is an LLM evaluation platform

    ... scheme of 50+ datasets with about 300,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue type prompt templates, to easily stimulate the maximum performance of various models.
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  • 25
    refinery

    refinery

    Open-source choice to scale, assess and maintain natural language data

    The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact. You are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate your labeling, find low-quality subsets in your training data, and monitor your data in one place. refinery doesn't get rid of manual labeling, but it makes sure that your valuable time is spent well. Also, the makers...
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