Data labeling and exploration tools for Machine Learning
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HumanSignal besitzt eine bedeutende Präsenz auf GitHub, wo eine Vielzahl von Repositories zu finden ist. Die Hauptprogrammiersprachen umfassen Python, JavaScript und TypeScript. Zu den bemerkenswerten Projekten zählen label-studio, labelImg und awesome-data-labeling, die Werkzeuge für Datenkennzeichnung und -exploration im Bereich Machine Learning bereitstellen.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
A curated list of awesome data labeling tools
Adala: Autonomous DAta (Labeling) Agent framework
Configs and boilerplates for Label Studio's Machine Learning backend
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Tools for converting Label Studio annotations into common dataset formats
Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models
Label data using HuggingFace's transformers and automatically get a prediction service
Label Studio SDK
Full-fledged Data Exploration Tool for Label Studio
Example Code to Supplement the Label Studio Blog
Awesome List of Human in the Loop resources and references for retraining models.
Keine Beschreibung für dieses Repository vorhanden.
A community-driven collection of Label Studio configs for various data annotation tasks.
Heartex Python SDK - Connect your own models to Heartex Data Labeling
Scripts utilizing Heartex platform to build brand sentiment analysis from the news
Keine Beschreibung für dieses Repository vorhanden.
Keine Beschreibung für dieses Repository vorhanden.
Evaluation metrics package
Plugins to extend Label Studio with custom workflows, integrations, and UI components.
Keine Beschreibung für dieses Repository vorhanden.
Tensorflow-based text classifier that could be integrated with Heartex/Label Studio
SmartFew is your swiss knife for semi-supervised structuring of unlabeled data using Few Shot Learning.
A curated list of awesome active learning related topics
PDF format annotation and labeling support for Label Studio
Label Studio ML Tutorial
Automated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.
DICOM format annotation and labeling support for Label Studio
Agent skill for building labelstudio xml labeling config
Curated collection of Label Studio tutorials
Label Studio website with the documentation
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Awesome machine learning tools
Materials we publish on Medium and other resources about labeling, machine learning, active learning, etc
Keine Beschreibung für dieses Repository vorhanden.
Agent skill for building HumanSignal Interfaces
Place for homebrew formula to live
Articles from the Label Studio Enterprise Support portal
decode audio files using FFmpeg and WebAssembly
NeMo: a toolkit for conversational AI
Publicly accessible repository for demo data, configurations, examples, and tutorials
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Simple SAML Identity Provider (IdP) for Node
A Slackbot that archives threads to Discourse and suggests previous threads that may answer a user question
A configurable set of panels that display various debug information about the current request/response.
Frontend test suite with Cypress
Used as a base for technical interviews
Label Studio meets weak supervision WIP
Awesome weak supervision
Image segmentation model for Label Studio
A set of rules for the frontend ESLint
HumanSignal entwickelt eine Vielzahl von Tools für die Datenkennzeichnung und -exploration, die insbesondere im Bereich Machine Learning eingesetzt werden. Dazu gehören Projekte wie label-studio, labelImg und Adala.
Die Hauptprogrammiersprachen, die HumanSignal auf GitHub einsetzt, sind Python, JavaScript, TypeScript, Jupyter Notebook und Shell. Diese Sprachen unterstützen die Entwicklung ihrer Tools und Anwendungen für die Datenkennzeichnung.
Ja, alle Repositories von HumanSignal sind öffentlich zugänglich. Dies ermöglicht anderen Entwicklern und Forschern, die Tools zu nutzen, zu studieren und zur Verbesserung der Projekte beizutragen.
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