Search Results for "weight scale management" - Page 4
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Showing 386 open source projects for "weight scale management"
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Red Hat Enterprise Linux on Microsoft AzureRed 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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Shift, the browser that merges all of your web apps into one powerful window.Streamline everything you do online when you install Shift and access thousands of apps without leaving your browser. Connect all of your Gmail, Outlook, and Office 365 accounts and manage everything from one centralized window. Build out your Shift browser with apps that integrate seamlessly so you have ultra-fast access to all the tools you use to stream, shop, work, browse, and stay connected. Shift brings it all together.
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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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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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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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Agones
Dedicated Game Server Hosting and Scaling for Multiplayer Games
... or proprietary cluster management and game server scaling solutions with a Kubernetes cluster that includes the Agones custom Kubernetes Controller and matching Custom Resource Definitions for GameServers, Fleets and more. With Agones, Kubernetes gets native abilities to create, run, manage and scale dedicated game server processes within Kubernetes clusters using standard Kubernetes tooling and APIs. This model also allows any matchmaker to interact directly with Agones via the Kubernetes API. -
Top-Rated Free CRM SoftwareHubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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L7
Large-scale WebGL-powered geospatial data visualization analysis
L7 is a WebGL-based open source large-scale geospatial data visual analysis development framework launched by Ant Financial's AntV data visualization team. The L in L7 stands for Location, and the 7 stands for the seven continents of the world, implying the ability to provide visual analysis for global location data. L7 focuses on the visual expression of data, and realizes clear and effective expression from data to information through the setting of visual variables such as color, size... -
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Apache InLong
Apache InLong - a one-stop integration framework for massive data
.... InLong was originally built at Tencent, which has served online businesses for more than 8 years, to support massive data (data scale of more than 80 trillion pieces of data per day) reporting services in big data scenarios. The entire platform has integrated 5 modules: Ingestion, Convergence, Caching, Sorting, and Management, so that the business only needs to provide data sources, data service quality, data landing clusters and data landing formats. -
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SageMaker Spark Container
Docker image used to run data processing workloads
Apache Spark™ is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data... -
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Sealer
Build, Share and Run Both Your Kubernetes Cluster and Distributed App
Sealer[ˈsiːlər] provides a new way of distributed application delivery which reduces the difficulty and complexity by packaging the Kubernetes cluster and all application's dependencies into one ClusterImage. We can write a Kubefile to build the ClusterImage, and use it to deliver your applications with embedded Kubernetes through Clusterfile. -
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BotCity Framework Core Python
BotCity Framework - Python
Recognize and interact with UI elements using state-of-art computer vision module. Operate any UI interface independent of the technology or platform (desktop, web, terminal). BotCity is a platform to develop, deploy, manage and maintain automation. Automation can be developed in Python or Java using open-source libraries that are market standard. Develop, deploy, manage and scale your Automation Ops using All in One platform that provides task queue, runtime environment management, reports... -
Bright Data - All in One Platform for Proxies and Web ScrapingBright Data offers the highest quality proxies with automated session management, IP rotation, and advanced web unlocking technology. Enjoy reliable, fast performance with easy integration, a user-friendly dashboard, and enterprise-grade scaling. Powered by ethically-sourced residential IPs for seamless web scraping.
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Union Pandera
Light-weight, flexible, expressive statistical data testing library
The open-source framework for precision data testing for data scientists and ML engineers. Pandera provides a simple, flexible, and extensible data-testing framework for validating not only your data but also the functions that produce them. A simple, zero-configuration data testing framework for data scientists and ML engineers seeking correctness. Access a comprehensive suite of built-in tests, or easily create your own validation rules for your specific use cases. Validate the functions... -
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Cofoundry
Cofoundry is an extensible and flexible .NET Core CMS
Cofoundry is an unobtrusive ASP.NET Core CMS focused on code-first development and user-friendly content management. Run integrated, decoupled or headless, it's your choice. Cofoundry is there when you want it and gets out of your way when you don't. Get back to writing regular .NET code you love and enjoy complete freedom with your front-end technology and designs. We understand that every application is different. Cofoundry is an adaptable framework that let's you swap in your preferred tools... -
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TorchServe
Serve, optimize and scale PyTorch models in production
TorchServe is a performant, flexible and easy-to-use tool for serving PyTorch eager mode and torschripted models. Multi-model management with the optimized worker to model allocation. REST and gRPC support for batched inference. Export your model for optimized inference. Torchscript out of the box, ORT, IPEX, TensorRT, FasterTransformer. Performance Guide: built-in support to optimize, benchmark and profile PyTorch and TorchServe performance. Expressive handlers: An expressive handler... -
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TDengine
Open-source time-series database with high-performance and scalability
Enables efficient, real-time data ingestion, processing and monitoring of TB and even PB scale data per day, generated by billions of sensors and data collectors. TDengine can be widely applied to IoT, Industrial Internet, Connected Vehicles, DevOps, Energy , Finance and many other use-cases. TDengine’s innovative design and purpose-built storage engine outperforms other time-series databases for data ingestion, querying and data compression while significantly reducing storage and computing... -
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InteractiveViz.jl
Interactive visualization tools for Julia
.... To render perceptually accurate summaries at large scale, allowing drill down to individual data points. To allow generation of data points on demand through a graphics pipeline, requiring computation only at a level of detail appropriate for display at the viewing resolution. Additional data points can be generated on demand when zooming or panning. This package was partly inspired by the excellent Datashader package available in the Python ecosystem. -
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NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers
Fast implementations of root-finding algorithms in Julia that satisfy the SciML common interface. For information on using the package, see the stable documentation. Use the in-development documentation for the version of the documentation that contains the unreleased features. NonlinearSolve.jl is a unified interface for the nonlinear solving packages of Julia. The package includes its own high-performance nonlinear solvers which include the ability to swap out to fast direct and iterative... -
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LinearSolve.jl
High-Performance Unified Interface for Linear Solvers in Julia
..., with options for large-scale systems. If you run into any performance issues, please file an issue. -
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Feathr
A scalable, unified data and AI engineering platform for enterprise
Feathr is a data and AI engineering platform that is widely used in production at LinkedIn for many years and was open sourced in 2022. It is currently a project under LF AI & Data Foundation. Define data and feature transformations based on raw data sources (batch and streaming) using Pythonic APIs. Register transformations by names and get transformed data(features) for various use cases including AI modeling, compliance, go-to-market and more. Share transformations and data(features)... -
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Vontigo
Open-source CMS built with SvelteKit
Vontigo is a cutting-edge open-source Content Management System (CMS) that leverages the power of SvelteKit to deliver fast, responsive, and dynamic websites. With its integrated ChatGPT feature, Vontigo takes content creation to the next level by generating high-quality articles automatically, saving time and effort for both developers and content creators. Vontigo's full-stack SvelteKit architecture enables seamless server-side rendering and client-side routing, allowing for lightning-fast... -
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Plural
Deploy open source software on Kubernetes in record time
Deploy, secure, and scale open-source applications on your cloud in minutes. Plural comes with batteries included to elevate fast moving teams from the headache of operating third-party OSS apps. We elevate you from the work of building and maintaining your open-source infrastructure and let teams focus on delivering value. Dependency management between Terraform/Helm modules, with dependency-aware deployment and upgrades. Authenticated docker registry and chartmuseum proxy per repository... -
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms... -
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ClearML
Streamline your ML workflow
ClearML is an open source platform that automates and simplifies developing and managing machine learning solutions for thousands of data science teams all over the world. It is designed as an end-to-end MLOps suite allowing you to focus on developing your ML code & automation, while ClearML ensures your work is reproducible and scalable. The ClearML Python Package for integrating ClearML into your existing scripts by adding just two lines of code, and optionally extending your experiments... -
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missingno
Missing data visualization module for Python
Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset. Just pip install missingno to get started. This quickstart uses a sample of the NYPD Motor Vehicle Collisions Dataset dataset. The msno.matrix nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion. At a... -
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Nebula Graph
A distributed, fast open-source graph database
The graph database built for super large-scale graphs with milliseconds of latency. Optimized SUBGRAPH and FIND PATH for better performance. Optimized query paths to reduce redundant paths and time complexity. Optimized the method to get properties for better performance of MATCH statements. Nebula Graph adopts the Apache 2.0 license, one of the most permissive free software licenses in the world. Free as in freedom, because, under the Apache 2.0 license, you can use, copy, modify... -
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mobx-state-tree
Full-featured reactive state management without the boilerplate
Technically speaking, MobX-State-Tree (also known as MST) is a state container system built on MobX, a functional reactive state library. This may not mean much to you, and that’s okay. I’ll explain it like this: MobX is a state management "engine", and MobX-State-Tree gives it structure and common tools you need for your app. MST is valuable in a large team but also useful in smaller applications when you expect your code to scale rapidly. And if we compare it to Redux, MST offers better... -
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Apache RocketMQ
Distributed messaging and streaming platform with low latency
...-in message tracing capability, also support opentracing. Versatile big-data and streaming ecosytem integration. Message retroactivity by time or offset. Reliable FIFO and strict ordered messaging in the same queue. Efficient pull and push consumption model. Million-level message accumulation capacity in a single queue. Multiple messaging protocols like JMS and OpenMessaging. Flexible distributed scale-out deployment architecture. Lightning-fast batch message exchange system.