Search Results for "labels"
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Showing 488 open source projects for "labels"
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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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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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ggrepel
epel overlapping text labels away from each other in your ggplot2
ggrepel is an R package that provides “smart” repulsion for text and label geoms in ggplot2. When placing text labels on a plot (e.g. labeling points), the labels can often overlap; ggrepel ensures labels don’t overlap (or overlap less) by repelling labels / pushing them away, adding connecting lines or nudges, etc. It improves the readability of plots, especially when many labels are present. Support for point and segment geoms (so labels can be connected by lines when moved). ... -
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Grafana Loki
Multi-tenant log aggregation system inspired by Prometheus
Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream. Unlike other logging systems, Loki is built around the idea of only indexing metadata about your logs: labels (just like Prometheus labels). Log data itself is then compressed and stored in chunks in object stores such as S3 or GCS, or even locally on the filesystem. A small index and highly compressed chunks simplifies the operation and significantly lowers the cost of Loki. ... -
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bbox-visualizer
Make drawing and labeling bounding boxes easy as cake
Make drawing and labeling bounding boxes easy as cake. This package helps users draw bounding boxes around objects, without doing the clumsy math that you'd need to do for positioning the labels. It also has a few different types of visualizations you can use for labeling objects after identifying them. There are optional functions that can draw multiple bounding boxes and/or write multiple labels on the same image, but it is advisable to use the above functions in a loop in order to have full control over your visualizations. -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. The TripletMarginLoss computes all possible triplets within the batch, based on the labels you pass into it. Anchor-positive pairs are formed by embeddings that share the same label, and anchor-negative pairs are formed by embeddings that have different labels. ... -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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labelme Image Polygonal Annotation
Image polygonal annotation with Python
...Image annotation for polygon, rectangle, circle, line and point. Image flag annotation for classification and cleaning. Video annotation. (video annotation). GUI customization (predefined labels / flags, auto-saving, label validation, etc). Exporting VOC-format dataset for semantic/instance segmentation. (semantic segmentation, instance segmentation). Exporting COCO-format dataset for instance segmentation. (instance segmentation). The first time you run labelme, it will create a config file in ~/.labelmerc. You can edit this file and the changes will be applied the next time that you launch labelme. ... -
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CLIP
CLIP, Predict the most relevant text snippet given an image
...It was trained on large sets of (image, caption) pairs using a contrastive objective: images and their matching text are pulled together in embedding space, while mismatches are pushed apart. Once trained, you can give it any text labels and ask it to pick which label best matches a given image—even without explicit training for that classification task. The repository provides code for model architecture, preprocessing transforms, evaluation pipelines, and example inference scripts. Because it generalizes to arbitrary labels via text prompts, CLIP is a powerful tool for tasks that involve interpreting images in terms of descriptive language. -
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Zasilkovna Client PHP
Zasilkovna.cz PHP library supporting SOAP and REST API + custom Label
This library provides SOAP and REST API implementations. Additionaly Branch implementation to fetch and store branch data and label implementation to generate labels. -
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ReductStore
The fastest time series object store for Edge AI
History storage and management of images, vibration data, text, labels, and more - all in one place with the highest performance. Merge blob and time series functionalities, reducing the need for multiple databases. Customize real-time data retention policies and replication strategies. Store billions of time-stamped blobs with AI labels and access them with low latency. Outperform other databases with a customized solution for time-series object data. -
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AccessibilitySnapshot
Easy regression testing for iOS accessibility
AccessibilitySnapshot is an iOS development tool that enables snapshot testing of accessibility elements in UIKit apps. It helps developers ensure that accessibility labels, traits, and hierarchies are properly configured and presented. By providing automated testing capabilities, it improves accessibility compliance and makes UI testing more robust. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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github-changelog-generator
Automatically generate change log from your tags, issues, labels, etc.
Automatically generate change log from your tags, issues, labels and pull requests on GitHub. Fully automated changelog generation - This gem generates a changelog file based on tags, issues and merged pull requests (and splits them into separate lists according to labels) from octocat: GitHub. What’s the point of a changelog? To make it easier for users and contributors to see precisely what notable changes have been made between each release (or version) of the project. ... -
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WatchYourLAN
Lightweight network IP scanner
WatchYourLAN is a local network monitoring tool that displays connected devices, providing insight into network activity and device status. -
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WhatTodo
A Simple Todo app design in Flutter to keep track of your task
A Simple Todo app design in Flutter to keep track of your task on daily basis. Its built on BLoC Pattern. You can add a project, labels, and due date to your task also you can sort your task on the basis of project, label, and dates. This diagram showcase the dependencies to create a feature-specific BLoCs.The HomeBloc is independent and used as a communication channel between its child widgets. The app already has a preloaded Inbox project. You can add more projects by clicking add project button on SideDrawer. ... -
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InvoicePrinter
Super simple PDF invoicing
Super simple PDF invoicing. InvoicePrinter is a server, command line program and pure Ruby library to generate PDF invoices in no time. You can use Ruby or JSON as the invoice representation to build the final PDF. -
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CellTypist
A tool for semi-automatic cell type classification, harmonization
CellTypist is an automated tool for cell type classification, harmonization, and integration. Classification, transfer cell type labels from the reference to query dataset. Harmonization, match and harmonize cell types defined by independent datasets. integration, integrate cell and cell types with supervision from harmonization. CellTypist recapitulates cell type structure and biology of independent datasets. Regularised linear models with Stochastic Gradient Descent provide a fast and accurate prediction. ... -
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Mini QR
Create & scan cute qr codes easily
Mini QR is a web app focused on making QR codes feel friendly and design-forward, combining a polished QR generator with a built-in scanner so you can both create and decode codes in the same place. It emphasizes customization so the QR you generate can match a brand, event theme, or personal style, including color and styling controls, framed layouts with labels, and the ability to add a logo image. Because QR reliability matters as much as looks, it exposes practical settings like error correction levels so you can balance data density with scannability, especially when adding a logo or encoding larger payloads. The scanning side supports camera-based scanning and image uploads, and it recognizes common QR content types such as URLs, emails, phone numbers, SMS messages, Wi-Fi credentials, and other structured payloads so the next action is obvious. ... -
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Cleanlab
The standard data-centric AI package for data quality and ML
cleanlab helps you clean data and labels by automatically detecting issues in a ML dataset. To facilitate machine learning with messy, real-world data, this data-centric AI package uses your existing models to estimate dataset problems that can be fixed to train even better models. cleanlab cleans your data's labels via state-of-the-art confident learning algorithms, published in this paper and blog. -
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Pyrra
Making SLOs with Prometheus manageable, accessible, and easy to use
Making SLOs with Prometheus manageable, accessible, and easy to use for everyone. When running Pyrra outside of Kubernetes, the SLO object can be provided through a YAML file read from the file system. For this, one container or binary needs to be started with the API argument and the reconciler with the filesystem argument. Here, Pyrra will save the generated recording rules to disk where they can be picked up by a Prometheus instance. While running Pyrra on its own works, there won't be... -
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Kurrier
Workspace for email, calendar, contacts and storage
...The UI aims to feel fast and cohesive across modules, with features like multiple identities (useful for multi-domain or multi-sender setups) and organizational tooling such as labels. -
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Segments.ai
Segments.ai Python SDK
...The platform for fast and accurate multi-sensor data annotation. Label in-house or with an external workforce. Intuitive labeling interfaces for images, videos, and 3D point clouds (lidar and RGBD). Obtain segmentation labels, vector labels, and more. Our labeling interfaces are set up to label fast and precise. Powerful ML assistance lets you label faster and reduce costs. Integrate data labeling into your existing ML pipelines and workflows using our simple yet powerful Python SDK. Onboard your own workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together. ... -
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x64dbg
An open-source x64/x32 debugger for windows
...Fully customizable color scheme. Dynamically recognize modules and strings. Import reconstructor integrated (Scylla). Fast disassembler (Zydis). User database (JSON) for comments, labels, bookmarks, etc. Plugin support with growing API. Extendable, debuggable scripting language for automation. Multi-datatype memory dump. Basic debug symbol (PDB) support. Dynamic stack view. Built-in assembler (XEDParse/asmjit). Executable patching and analysis. We provide both the executable and the source. Feel free to contribute. ... -
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Containers Roadmap
This is the public roadmap for AWS container services
This repository is a public forum for the AWS Containers team to share plans, gather feedback, and track progress for services like Amazon ECS, EKS, Fargate, ECR, App Runner, and related tooling. Instead of buried changelogs, ideas and work items are represented as GitHub issues with labels that convey status, area, and priority. Customers watch, react, and comment directly on items, creating a transparent feedback loop between users and service teams. The issue history provides valuable context on trade-offs, design pivots, and integration plans across the container ecosystem on AWS. It is not a codebase; it is a living roadmap that signals what’s under consideration, in progress, or shipped. ... -
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gt R
Easily generate information-rich, publication-quality tables from R
With the gt package, anyone can make wonderful-looking tables using the R programming language. The gt philosophy: we can construct a wide variety of useful tables with a cohesive set of table parts. These include the table header, the stub, the column labels and spanner column labels, the table body, and the table footer. It all begins with table data (be it a tibble or a data frame). You then decide how to compose your gt table with the elements and formatting you need for the task at hand. Finally, the table is rendered by printing it at the console, including it in an R Markdown document, or exporting it to a file using gtsave(). ... -
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pandoc-crossref filter
Pandoc filter for cross-references
...Optionally, you can use cleveref for LaTeX/PDF output, e.g. cleveref PDF, cleveref LaTeX, and listings package, e.g. listings PDF, listings LaTeX. This package tries to use LaTeX labels and references if output type is LaTeX. It also tries to supplement rudimentary LaTeX configuration that should mimic metadata configuration by setting header-includes variable. The easiest option to get pandoc-crossref on Windows, macOS, or Linux, is to download pre-built executables available at the releases page. Bear in mind that those are a product of automated build scripts, and as such, provided as-is, with zero guarantees. ... -
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LaTeX.CSS
LaTeX.css is a library that makes your website look like a LaTeX doc
...LaTeX.css is a minimal, almost class-less CSS library that makes any website look like a LaTeX document. Add any optional classes to elements with special styles (author subtitle, abstract, lemmas, theorems, etc.). The labels of theorems, definitions, lemmas and proofs can be changed to other supported languages by including the snippet provided in addition to the main CSS file. Sidenotes can be used as an alternative to footnotes, where the user does not have to jump to the bottom of the page to read it. On mobile, click the superscript to reveal the note. ... -
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ggraph
Grammar of Graph Graphics
ggraph adapts the Grammar of Graphics from ggplot2 for network and graph visualizations. It integrates with tidygraph/igraph data structures, providing a wide range of geoms, layouts (e.g. hive plots, circle packing), and layering methods tailored to hierarchical or relational data.
