Data labeling and exploration tools for Machine Learning
52
Dépôts publics
61 223
Total des étoiles
856
Abonnés
HumanSignal maintient une présence significative sur GitHub, avec un large éventail de dépôts publics. Les principaux langages utilisés incluent Python, JavaScript et TypeScript. Parmi leurs dépôts notables, on trouve label-studio, un outil de libération et d'annotation de données, et labelImg, un outil populaire d'annotation d'images.
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.
Aucune description fournie pour ce dépôt.
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
Aucune description fournie pour ce dépôt.
Aucune description fournie pour ce dépôt.
Evaluation metrics package
Plugins to extend Label Studio with custom workflows, integrations, and UI components.
Aucune description fournie pour ce dépôt.
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
Aucune description fournie pour ce dépôt.
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 développe plusieurs projets axés sur l'annotation de données et l'exploration pour l'apprentissage automatique. Des dépôts notables incluent label-studio et labelImg, qui fournissent des outils essentiels pour la communauté de l'IA.
HumanSignal utilise principalement Python, JavaScript, TypeScript, Jupyter Notebook, CSS et Shell. Ces langages sont essentiels pour le développement de leurs outils d'annotation et de libération de données.
Oui, tous les dépôts de HumanSignal sont publics sur GitHub. Cela permet à la communauté d'accéder à leurs outils et d'y contribuer, favorisant ainsi la collaboration dans le domaine de l'apprentissage automatique.
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