Data labeling and exploration tools for Machine Learning
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HumanSignal은 데이터 라벨링 및 탐색 도구를 제공하는 조직으로, GitHub에서 다양한 공개 리포지토리를 운영하고 있습니다. 주요 프로그래밍 언어로는 Python, JavaScript, TypeScript 등이 있으며, label-studio와 labelImg와 같은 주목할 만한 리포지토리를 보유하고 있습니다.
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.
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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
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Evaluation metrics package
Plugins to extend Label Studio with custom workflows, integrations, and UI components.
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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
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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
HumanSignal은 머신 러닝을 위한 데이터 라벨링 및 탐색 도구를 개발합니다. label-studio와 labelImg와 같은 여러 인기 있는 프로젝트를 통해 사용자에게 다양한 데이터 라벨링 솔루션을 제공합니다.
HumanSignal은 주로 Python, JavaScript, TypeScript, Jupyter Notebook 및 CSS와 같은 다양한 프로그래밍 언어를 사용합니다. 이러한 언어들은 데이터 라벨링 도구의 개발에 기여하고 있습니다.
네, HumanSignal의 리포지토리는 모두 공개되어 있습니다. GitHub에서 사용자는 이 조직의 다양한 데이터 라벨링 관련 프로젝트를 자유롭게 탐색하고 기여할 수 있습니다.