Search Results for "terminology"
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Showing 59 open source projects for "terminology"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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HY-MT
Hunyuan Translation Model Version 1.5
...It ships with both an 1.8 B parameter model and a larger 7 B model, the latter optimized not only for direct translation but also for formatted and contextualized output, allowing better handling of terminology and mixed-language content. The project emphasizes both speed and quality, with the smaller model able to be quantized and deployed on edge devices for real-time translation tasks without requiring large server infrastructure. Terminology intervention and contextual translation features give users control over how specific terms or styles are rendered, which is important for technical or domain-specific content. -
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Google Engineering Practices Docs
Google's Engineering Practices documentation
...It includes Google’s comprehensive Code Review Guidelines, split into two major sections: The Code Reviewer’s Guide and The Change Author’s Guide, which detail the expectations and processes for both reviewers and authors. Additionally, it explains key terminology and practices commonly used within Google to make the documentation accessible to external audiences. -
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Minecraft Mod Language Package
A language package for Minecraft Mods
...The project was created to address common issues where mod developers do not provide official translations or where updates to translations are delayed. Contributors collaborate to maintain dictionaries, translation guidelines, and localization tools that help standardize terminology across many different mods. The translated resources can be installed as resource packs or through specialized tools that automatically update translations when mods change. -
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Hateoas
A PHP library to support implementing representations
A PHP library to support implementing representations for HATEOAS REST web services. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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dd-trace
JavaScript APM Tracer
dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off to a process that collects and aggregates the data, called an Agent. Finally, the data is sent off to the Datadog servers where it's stored and made available for querying in a myriad of ways, such as displaying in a dashboard or triggering alerts. -
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Translate Toolkit
Useful localization tools with Python API for building localization
...Allowing you and your translators to work on industry-standard translation formats. Search for pattern matches. Run tests that adapt to languages and source projects. Extract terminology. A large toolset to allow you to increase localization quality. The code is available for you to add new formats, project types, localization tests and language modules. Adapting the toolkit to your project and needs. -
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Laravel Sharp
Laravel 10+ Content management framework
...The public website should not have any knowledge of the CMS, the CMS is a part of the system, not the center of it. In fact, removing the CMS should not have any effect on the project. Content administrators should work with their data and terminology, not CMS terms. I mean, if the project is about spaceships, space travels, and pilots, why would the CMS talk about articles, categories, and tags? Developers should not have to work on the front-end development for the CMS. Because life is complicated enough, Sharp takes care of all the responsive / CSS / JS stuff. -
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Lingo.dev
AI localization toolkit for web & mobile
...Its composable infrastructure supports full-stack localization across product interfaces, marketing sites, automated emails, and dynamic content from the outset. Users can customize translations to reflect their brand's unique voice and industry-specific terminology, with advanced options suitable for scaling teams. -
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FinGLM
Committed to building an open, public welfare
FinGLM is an open-source financial large language model initiative aimed at advancing artificial intelligence applications within the finance industry. The project focuses on developing domain-specific language models that understand financial terminology, corporate reports, and economic datasets. By combining large language model architectures with financial datasets such as corporate annual reports and structured financial records, FinGLM aims to improve AI performance on tasks that require domain expertise. The repository also provides educational materials and tutorials that help developers learn how to build and fine-tune financial AI systems using the GLM model ecosystem. ... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Cluster Template
A template for deploying a Kubernetes cluster with k3s or Talos
Welcome to my opinionated and extensible template for deploying a single Kubernetes cluster. The goal of this project is to make it easier for people interested in using Kubernetes to deploy a cluster at home on bare-metal or VMs. At a high level, this project makes use of makejinja to read in a configuration file which will render out pre-made templates that you can then use to customize your Kubernetes experience further. The features included will depend on the type of configuration you... -
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Nerfstudio
A collaboration friendly studio for NeRFs
Nerfstudio provides a simple API that allows for a simplified end-to-end process of creating, training, and testing NeRFs. The library supports a more interpretable implementation of NeRFs by modularizing each component. With more modular NeRFs, we hope to create a more user-friendly experience in exploring the technology. This is a contributor-friendly repo with the goal of building a community where users can more easily build upon each other’s contributions. Nerfstudio initially launched... -
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fq
jq for binary formats
Tool, language, and decoders for working with binary data. fq is inspired by the well-known jq tool and language and allows you to work with binary formats the same way you would using jq. In addition, it can also present data similar to a hex viewer, transform, slice, and concatenate binary data, supports nested formats, and has an interactive REPL with auto-completion. It was originally designed to query, inspect and debug codecs and metadata in media files and containers like mp4, FLAC,... -
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WrenAI
Open-source SQL AI Agent for Text-to-SQL. Make Text2SQL Easy
...Wren AI has implemented a semantic engine architecture to provide the LLM context of your business; you can easily establish a logical presentation layer on your data schema that helps LLM learn more about your business context. With Wren AI, you can process metadata, schema, terminology, data relationships, and the logic behind calculations and aggregations with “Modeling Definition Language”, to generate accurate SQL queries with semantic context. When starting a new conversation in Wren AI, your question is used to find the most relevant tables. From these, LLM generates three relevant questions for the user to choose from. ... -
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odaba
ODABA is an terminology-oriented database management system and develo
ODABA is an terminology-oriented database management system (TODBMS) on a high conceptual level. It provides a number of enhanced features based on natural language analysis. Terminology orientation allows designing user oriented data models. Enhanced event model and Active Data Link technology support rapid development of GUI applications. Several development, documentation, test and analyzing tools are provided in order to support developers and administrators. .NET interface and a powerful object-orjented script language (OSI) improve development efficiency. -
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Azure Zero to Hero Course
Repository to learn Azure from Zero
Azure Zero to Hero Course is a comprehensive, day-by-day course repository designed to teach Azure fundamentals and practical skills from the ground up, targeted especially at aspiring DevOps engineers. The README is structured as a multi-day curriculum: early days cover cloud concepts, terminology, and Azure basics such as regions, availability zones, resource groups, and VM creation. Subsequent days dive into networking (VNets, subnets, NSGs, load balancers, firewalls), storage services, Azure CLI, IAM/RBAC, and Azure DevOps. Multiple days are dedicated to full projects, such as deploying an application behind a firewall on Azure, building CI/CD pipelines with Azure DevOps and AKS, deploying a three-tier e-commerce app on AKS, and integrating Key Vault with Kubernetes using CSI drivers. ... -
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Free, open source Computer Aided Dispatch for volunteer fire departments, ARES/RACES, CERT teams, EMS, search & rescue, and campus security. 30+ years of real-world use. Zero cost. Self-hosted.
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ictcore
ICTCore: Unified Communications Framework for web developers
...Truly unified communications framework ICTCore allow developers to use multiple communication methods / services like Call, FAX, Messaging or Email, plus it also allow them to integrate these services with each other, like SMS notification after each call or email to fax. ICTCore cover all major communication methods Allow integration between different kind of communication methods Uses unified terminology and share -
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Hypernomicon
Hypertext-infused philosophy personal database software
Hypernomicon is a personal productivity/database application for researchers that combines structured note-taking, mind-mapping, management of files (e.g., PDFs) and folders, and reference management into an integrated environment that organizes all of the above into semantic networks or hierarchies in terms of debates, positions, arguments, labels, terminology/concepts, and user-defined keywords by means of database relations and automatically generated hyperlinks (hence ‘Hyper’ in the name). Hypernomicon keeps track of all these things in a highly structured, thoroughly indexed and user friendly relational database, automatically generates semantic hyperlinks between all of them, and presents this information in many different forms so that you are constantly informed of ways all of your information is related that you had not realized. -
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Machine Learning Glossary
Machine learning glossary
...Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers. -
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Guia do Cientista de Dados das Galáxias
Repository for gathering information on study materials
Guia do Cientista de Dados das Galáxias is an open-source community repository that aggregates educational resources, tools, and references related to data science, machine learning, and analytics. The project was created by the Pizza de Dados community with the goal of organizing useful materials for people interested in learning or working in the data science ecosystem. The repository collects links to books, podcasts, tutorials, datasets, communities, and study groups that can help... -
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Boost Note
Boost Note is a document driven project management tool
Boost Note is a document-driven project management tool that maximizes remote DevOps team velocity. Write overviews of systems including concepts, terminology definitions and descriptions of how these concepts work together. Having a 'living document' to help drive dialogue and exchange of ideas through collaboration helps this process significantly. Organize your dev team's sprint backlog and visualize them with status, assignees, reviewers, due date and everything you need. Reduce repeated progress updates in the company chat and standup meetings. ... -
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deps.cloud
Index and query dependencies across your company's private repository
Index and query dependencies across your company's private repositories. deps.cloud is a tool to help companies understand what libraries and projects their systems use. It works by detecting dependencies defined in common manifest files (pom.xml, package.json, go.mod, etc). Using this information, we’re able to answer questions about project dependencies. Modules in deps.cloud can represent a library (the common case), application, or repository. This can largely depend on how a given... -
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TemaTres: controlled vocabulary server
Manage, Publish and Share Ontologies, Taxonomies, Thesauri, Glossaries
Web application for management formal representations of knowledge, thesauri, taxonomies and multilingual vocabularies / Aplicación para la gestión de representaciones formales del conocimiento, tesauros, taxonomías, vocabularios multilingües. For the latest version of code: https://github.com/tematres/TemaTres-Vocabulary-Server -
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BestBooks
BestBooks Accounting Application Framework (BAAF)
...BestBooks gives you the option of a full-fledge ready-to-go software with your preferred terminology. It saves you costs and time of building an accounting system from scratch. -
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Spinning Up in Deep RL
Educational resource to help anyone learn deep reinforcement learning
Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the unfamiliar, reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning. At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the...
