Modding Argilla for validating AI-assisted document data extractions
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Updated
May 15, 2024 - Python
Modding Argilla for validating AI-assisted document data extractions
Open Standard for Metadata. A Single place to Discover, Collaborate and Get your data right.
Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Client interface for all things Cleanlab Studio
Assorted tools for data modeling, ETL, and web scraping.
⚡ Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io
This Java program serves as a simple command-line interface for managing student data. It's designed as a project for educational purposes, particularly for the Object-Oriented Programming (OOP) class at Budi Luhur University. The system allows students to practice fundamental concepts of Java programming, including classes, objects, arrays etc.
Test data management tool for any data source, batch and real-time
A light-weight, flexible, and expressive statistical data testing library
A React component for building Web forms from JSON Schema.
Tutorial for Pydantic and SQLAlchemy
REST Data Validator is a versatile library designed to offer comprehensive validation for data in RESTful APIs. It supports a wide range of data types, validation rules, and is designed with extensibility in mind, making it ideal for ensuring data integrity and compliance with API specifications.
Express middleware to validate request (headers, params, query, body) using Joi
Minimal validation library for the brave
Validator for the Brain Imaging Data Structure
Data quality assessment and metadata reporting for data frames and database tables
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
Scripts that support Mass Digitization projects by the Digitization Program Office, OCIO
Check that your CSV files are valid
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