Search Results for "label"
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Showing 475 open source projects for "label"
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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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99.99% Uptime for MySQL and PostgreSQL DatabasesCloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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Label Studio
Label Studio is a multi-type data labeling and annotation tool
...Build custom UIs or use pre-built labeling templates. Detect objects on image, bboxes, polygons, circular, and keypoints supported. Partition image into multiple segments. Use ML models to pre-label and optimize the process. Label Studio is an open-source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats. It can be used to prepare raw data or improve existing training data to get more accurate ML models. ... -
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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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Label Sleuth
Open source no-code system for text annotation and building of text
An open-source no-code system for text annotation and building text classifiers. No AI knowledge needed. From task definition to working model in just a few hours! While domain experts label their data, Label Sleuth automatically trains in the background-appropriate machine learning models. To avoid wasted labeling effort, Label Sleuth employs active learning techniques to guide the user in what they should be labeled next. Domain experts can quickly start labeling their data through an intuitive user interface. Developed by researchers across industry and academia, Label Sleuth incorporates the latest research from human-computer interaction, natural language processing, and artificial intelligence. ... -
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Segments.ai
Segments.ai Python SDK
Multi-sensor labeling platform for robotics and autonomous vehicles. 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. ... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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LPrint
A Label Printer Application
LPrint implements printing for a variety of common label and receipt printers connected via network or USB. Features include a single executable handles spooling, status, and server functionality. Multiple printer support. Each printer implements an IPP Everywhere™ print service and is compatible with the driverless printing support in Android™, Chrome OS™, iOS®, Linux®, macOS®, and Windows® 10/11 clients. -
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Scikit-LLM
Seamlessly integrate LLMs into scikit-learn
...At the moment the majority of the Scikit-LLM estimators are only compatible with some of the OpenAI models. Hence, a user-provided OpenAI API key is required. Additionally, Scikit-LLM will ensure that the obtained response contains a valid label. If this is not the case, a label will be selected randomly (label probabilities are proportional to label occurrences in the training set). Note: unlike in a typical supervised setting, the performance of a zero-shot classifier greatly depends on how the label itself is structured. It has to be expressed in natural language, descriptive, and self-explanatory. -
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Cleanlab
The standard data-centric AI package for data quality and ML
...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. See some of the datasets cleaned with cleanlab at labelerrors.com. This package helps you find label issues and other data issues, so you can train reliable ML models. All features of cleanlab work with any dataset and any model. Yes, any model: PyTorch, Tensorflow, Keras, JAX, HuggingFace, OpenAI, XGBoost, scikit-learn, etc. If you use a sklearn-compatible classifier, all cleanlab methods work out-of-the-box. -
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Qttabbar
Qttabbar is a small tool that allows you to use tab multi label func.
Qttabbar is a small tool that allows you to use the tab multi-label function in Windows Explorer. Since then, there are no windows folders and awesome folder preview functions, which greatly improves the efficiency of your work. It’s like IE 7, and it’s like Firefox and opera. Qttabbar also provides some plug-ins, such as file operation tools, tree directory, display status bar, and so on. Qttabbar domestic optimized version is based on sf.net/projects/qttabbar/ (2012-06-17). -
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Labeler
Label manager for PRs and Issues based on configurable conditions
An advanced, all-in-one GitHub Action enabling dynamic labeling of both issues and PRs based on a variety of configurable rules—covering metadata like age, author, branch, file changes, draft status, and more. A flexible tool for automating repository hygiene. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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GitHub Actions Runner Images
GitHub Actions runner images
This repository contains the source code used to create the VM images for GitHub-hosted runners used for Actions, as well as for Microsoft-hosted agents used for Azure Pipelines. To build a VM machine from this repo's source, see the instructions. -
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Animated hamburger menu icons for React
Animated hamburger menu icons for React
...Therefore, padding will be added around the icon to create a surface of exactly this size. Keyboard interaction is provided with the enter key, and the icon element has the recommended accessibility attributes (such as role). You can use the label property to supply an ARIA label for the icon. -
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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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Metacrafter
Metadata and data identification tool and Python library
Python command line tool and Python engine to label table fields and fields in data files. It could help to find meaningful data in your tables and data files or to find Personal identifiable information (PII). Metacrafter is a rule-based tool that helps to label fields of the tables in databases. It scans table and finds person names, surnames, midnames, PII data, basic identifiers like UUID/GUID. -
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pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
pix2pixHD is a PyTorch-based implementation of a conditional generative adversarial network designed for high-resolution image-to-image translation, capable of producing photorealistic outputs at resolutions up to 2048×1024. It is widely used to convert structured inputs such as semantic label maps into realistic images, making it particularly valuable in applications like autonomous driving simulation, face synthesis, and scene generation. The model improves upon earlier GAN approaches by introducing multi-scale generators and discriminators that enable stable training and fine detail generation at large resolutions. ... -
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vim‑sneak
The missing motion for Vim
...It maintains compatibility with Vim's operators, macros, visual mode, repeat (.), and supports multibyte text. It provides intuitive highlights that disappear once the jump is completed. Sneak has <Plug> mappings for f and t 1-character-sneak. These mappings do not invoke label-mode, even if you have it enabled. Highlights matches in the direction of your search. Input is always literal (don't need to escape special characters). -
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JMX Exporter
A process for exposing JMX Beans via HTTP for Prometheus consumption
JMX to Prometheus exporter: a collector that can configurable scrape and expose mBeans of a JMX target. This exporter is intended to be run as a Java Agent, exposing a HTTP server and serving metrics of the local JVM. It can be also run as a standalone HTTP server and scrape remote JMX targets, but this has various disadvantages, such as being harder to configure and being unable to expose process metrics (e.g., memory and CPU usage). Running the exporter as a Java agent is strongly... -
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Knockoff
Chrome extension that filters pseudo-brand junk out of Amazon
...It examines product brands locally and classifies them with personal lists, curated databases, community data, and readable naming heuristics. Users can hide, dim, or label filtered products without permanently removing access to them. Three filtering levels range from blocking known problem brands to allowing only recognized brands. Interactive badges let shoppers trust a brand, block it, reveal an item once, or report an incorrect decision. The extension requires no account, performs no tracking, and makes no server request during the normal shopping path. ... -
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Jekyll Admin
Jekyll plugin that provides users with a traditional CMS interface
...The plugin allows you to customize the name of a collection that is displayed in the sidebar by defining it in the collection's metadata in the config file. For example, if your source's posts are actually news-items on the deployed site, then it can be distracting to see the label Posts in the admin's sidebar. -
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MarqueeLabel
A drop-in replacement for UILabel
MarqueeLabel is a UILabel subclass adds a scrolling marquee effect when the text of the label outgrows the available width. The label scrolling direction and speed/rate can be specified as well. All standard UILabel properties (where it makes sense) are available in MarqueeLabel, with the intent of MarqueeLabel behaving just like a UILabel. MarqueeLabel will be maintained in Swift only starting with release 4.0! MarqueeLabel is compatible with both iOS and tvOS, and currently works with Swift 5.0 and the iOS 12.2 SDK! ... -
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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... -
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Prometheus Operator
Prometheus Operator creates/configures/manages Prometheus clusters
...Simplified Deployment Configuration: Configure the fundamentals of Prometheus like versions, persistence, retention policies, and replicas from a native Kubernetes resource. Prometheus Target Configuration: Automatically generate monitoring target configurations based on familiar Kubernetes label queries; no need to learn a Prometheus-specific configuration language. -
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ttl
Fast, modern traceroute with real-time TUI, per-hop stats
...It is also built for messy real-world routing, including multipath behavior, so it can probe with multiple flows and surface ECMP patterns instead of pretending there is only one stable route. For deeper path analysis, it can parse MPLS label information when present, helping you understand what a provider network is doing beyond plain IP hops. -
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MONAI
AI Toolkit for Healthcare Imaging
...It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Project MONAI also includes MONAI Label, an intelligent open source image labeling and learning tool that helps researchers and clinicians collaborate, create annotated datasets, and build AI models in a standardized MONAI paradigm. MONAI is an open-source project. It is built on top of PyTorch and is released under the Apache 2.0 license. Aiming to capture best practices of AI development for healthcare researchers, with an immediate focus on medical imaging. ... -
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pandas
Fast, flexible and powerful Python data analysis toolkit
pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase. pandas is continuously being developed to be a fundamental high-level building... -
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Notally
A beautiful notes app
Notally was created because I wanted to make something that was beautiful and at the same time, useful. It's extremely light, there are minimal dependencies and lines of code.
