Search Results for "data label"
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Showing 132 open source projects for "data label"
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Label Studio
Label Studio is a multi-type data labeling and annotation tool
The most flexible data annotation tool. Quickly installable. 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. ... -
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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. ... -
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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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Cleanlab
The standard data-centric AI package for data quality and ML
...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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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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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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vim‑sneak
The missing motion for Vim
vim‑sneak is a minimalist yet powerful navigation plugin for Vim, designed to jump to any location specified by two characters. 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.... -
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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). Supports both... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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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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Endroid QR Code
QR Code Generator
Endroid QR Code is a PHP library that allows developers to generate QR codes with customizable parameters. It supports creating QR codes in various formats, including PNG and SVG, and offers options for encoding URLs, text, or other data. The library is flexible and easy to integrate into applications that require QR code generation, such as ticketing systems or payment gateways. -
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CLIP
CLIP, Predict the most relevant text snippet given an image
CLIP (Contrastive Language-Image Pretraining) is a neural model that links images and text in a shared embedding space, allowing zero-shot image classification, similarity search, and multimodal alignment. 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... -
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parca
Continuous profiling for analysis of CPU and memory usage
...Both producing pprof formatted profiles with the eBPF-based profiler and ingesting any pprof formatted profiles allowing for wide language adoption and interoperability with existing tooling. Efficiently storing profiling data while retaining raw data and allowing slicing and dicing of data through a label-based search. Aggregate profiling data infrastructure-wide, view single profiles in time or compare on any dimension. -
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Laminar
Open-source all-in-one platform for engineering AI products
Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead. ... -
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Velero
Backup and migrate Kubernetes applications and their persistent volume
...Velero is an open source tool to safely backup and restore, perform disaster recovery, and migrate Kubernetes cluster resources and persistent volumes. Reduces time to recovery in case of infrastructure loss, data corruption, and/or service outages. Enables cluster portability by easily migrating Kubernetes resources from one cluster to another. Offers key data protection features such as scheduled backups, retention schedules, and pre or post-backup hooks for custom actions. Backup your Kubernetes resources and volumes for an entire cluster, or part of a cluster by using namespaces or label selectors. ... -
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Gmail Cleaner
Web based GUI to cleanup gmail delete, mark as read
Gmail Cleaner is a free, privacy-focused, web-based application that helps users regain control of their Gmail inbox by enabling powerful bulk cleanup workflows without any subscription or data tracking. It offers a graphical interface where users can bulk unsubscribe from newsletters, delete messages from specific senders, and mark thousands of emails as read with just a few clicks, helping achieve inbox zero in minutes. The tool employs smart filtering options such as age, size, category, and sender, and runs entirely locally — meaning all Gmail API interactions happen on the user’s own machine without sending data to external servers. ... -
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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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Featuretools
An open source python library for automated feature engineering
...Featuretools automatically creates features from temporal and relational datasets. Featuretools uses DFS for automated feature engineering. You can combine your raw data with what you know about your data to build meaningful features for machine learning and predictive modeling. Featuretools provides APIs to ensure only valid data is used for calculations, keeping your feature vectors safe from common label leakage problems. You can specify prediction times row-by-row. Featuretools come with a library of low-level functions that can be stacked to create features. ... -
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DeepCamera
Open-Source AI Camera. Empower any camera/CCTV
...The source code is here It leverages Yolov7 as a person detector, FastReID for person feature extraction, Milvus the local vector database for self-supervised learning to identify unseen persons, Labelstudio to host images locally and for further usage such as label data and train your own classifier. It also integrates with Home-Assistant to empower smart homes with AI technology. -
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LabelCast
Print barcode labels to Zebra printers from database query
Software to print labels to barcode printers supporting ZPL (Zebra Printer Language) with variable data from database queries, both as Windows desktop app and web application. Users can retrieve data from a database for a label based on query parameters. You can also submit label data to the software through an API in XML or JSON format. Supports SQLite, PostgreSQL, SQL Server and Oracle databases. -
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MIR
A lightweight JIT compiler based on MIR
...MIR project goal is to provide a basis to implement fast and lightweight interpreters and JITs. Plans to try MIR light-weight JIT first for CRuby or/and MRuby implementation. Each module can contain functions and declarations and data. Each function has a signature (parameters and return types), local variables (including function arguments) and instructions. Each local variable has a type which can be only a 64-bit integer, float, double, or long double. Each instruction has an opcode and operands. Operand can be a local variable (or a function argument), immediate, memory, label, or reference. ... -
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
...It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure content into rich datasets tailored for downstream LLM training needs. The system includes automated question-generation capabilities, hierarchical label trees, and answer generation pipelines that use LLM APIs to produce coherent paired data with customizable templates. Beyond dataset creation, Easy-dataset also provides a built-in evaluation system with model testing and blind-test features, helping teams validate model performance using curated test sets. -
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Optional Fund Assistant
Quickly obtain real-time data of the funds of interest
Self-selected fund assistants can view the funds you are concerned about in real-time and help you quickly obtain real-time data. It can be used to view the real-time valuation of your self-selected funds, and you can freely increase or decrease the self-selected funds. Your self-selected fund data will be synchronized with your account. After buying the fund, I have been looking for a chrome extension for PC. After all, the trading hours of stocks are carried out on working days.... -
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Ember Paper
The Ember approach to Material Design
This project aims to bring Google's new Material Design to Ember. The goal is to encapsulate everything possible in Ember components. This project is packaged as an Ember-cli addon. This should also automatically create an scss file under app/styles/app.scss with @import 'ember-paper'; and install ember-cli-sass. Sass is an important part of Ember-paper. Using sass you can override default variables and easily change the default behavior of ember-paper styles. All the components and styles... -
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training...
