Providing reproducibility in deep learning frameworks
SQLAlchemy Seeder
This is a Django package that gives the developer easy implementations for seeding real data in the database
AutodidactAI is an AI-driven platform that empowers continuous learning and self-improvement. Inspired by the concept of ikigai, AutodidactAI seeks to find purpose in knowledge acquisition and enhance its performance through iterative feedback and adaptation, embodying the principles of self-directed learning and continuous improvement
Restful web service for recognition and compare image face using CNN method and Flask + MongoDB base
Generate realistic test data quickly with Quick-Seeders, a Python library offering a wide range of data types and schema definitions. Control data variance, probabilities, and output formats, including SQL. Simplify your data seeding process and improve testing efficiency.
A scalable FastAPI starter kit with JWT authentication, role-based access control, SQLAlchemy ORM, Alembic migrations, PostgreSQL, and modular architecture ready for production and rapid API development.
Add a description, image, and links to the seeder topic page so that developers can more easily learn about it.
To associate your repository with the seeder topic, visit your repo's landing page and select "manage topics."
