Search Results for "labels"
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Showing 332 open source projects for "labels"
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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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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. ... -
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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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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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SkillSpector
Security scanner for AI agent skills
...It supports several input types, including Git repositories, URLs, zip files, folders, and individual files. It also produces practical reports with risk scores, severity labels, and recommendations that make security reviews easier to act on. -
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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. -
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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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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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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. ... -
14
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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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. ... -
16
React-Date-Picker
A date picker for your React app
...Localization uses standard language tags and browser locale information without requiring Moment.js. Developers can define minimum and maximum dates, formatting rules, calendar behavior, placeholders, and custom icons. Accessibility options include dedicated labels for calendar controls, date fields, native input, and clearing actions. The component can be styled with its default CSS or customized to match an application's interface. -
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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... -
18
X-AnyLabeling
Effortless data labeling with AI support from Segment Anything
...It supports labeling tasks across images and videos and enables developers to prepare training datasets for tasks such as object detection, segmentation, classification, tracking, and pose estimation. The tool is built with an interactive graphical interface that simplifies annotation workflows and allows users to draw and edit labels directly on visual data. It also supports a wide range of export formats compatible with popular machine learning pipelines, making it easier to integrate with training frameworks. -
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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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Flagpack
Flagpack contains 250+ flag icons to easily use within your code
flagpack-core is a collection of high-quality SVG and PNG flags for over 250 countries and regions. It provides a lightweight and accessible way to integrate country flags into web applications. -
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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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baru
A system monitor written in Rust and C
Baru gathers the information from /sys and /proc filesystems (filled by the kernel). Except for audio and network modules that use C libraries. There is no memory leak over time. All modules are threaded. Thanks to this design (as well as Rust and C), baru is lightweight and efficient. It can run at a high refresh rate with a minimal processor footprint. The audio module communicates with the PipeWire/PulseAudio server through client API to retrieve its data. Wireless and wired modules use... -
23
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. -
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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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Deepchecks
Test Suites for validating ML models & data
Deepchecks is the leading tool for testing and for validating your machine learning models and data, and it enables doing so with minimal effort. Deepchecks accompany you through various validation and testing needs such as verifying your data’s integrity, inspecting its distributions, validating data splits, evaluating your model and comparing between different models. While you’re in the research phase, and want to validate your data, find potential methodological problems, and/or validate...