The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Updated
May 23, 2024 - Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
🚀 A coroutine framework that focuses on hyperspeed and flexibility. Building microservice or middleware with ease.
This is the data repository for the models created and edited with the Noctua tool stack for GO.
Annotation helper tool for the manual curation of transposable element consensus sequences
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
generic SpringBoot samples; includes embedded databases, templates,
Web tool for computer vision data collection.
A web organizer for image galleries and videos.
一个简单易用的关联字段填充框架,通过简单的注解配置快速根据外键/编码值填充相关字段,支持字典,枚举,方法等多种数据源。 A simple and easy-to-use data mapping framework, quickly populate relevant fields according to foreign keys/encoded values through simple annotation configuration, supports dictionaries, enumerations, methods and other data sources.
Simplest and fastest image and text annotation tool.
Documentation Website for Recogito v4.0.0
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Stand-off Text Annotation Model (STAM) is a data model for stand-off-text annotation where any information on a text is represented as an annotation. This repository contains the model's full specification, extensions, schemas, examples and documentation.
Creating and using (chemical) compound databases
Metadata and website for the Open Bio Ontologies Foundry Ontology Registry
A zero dependency package to highlight elements
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
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