Hi, we are ML Aide, and our purpose is making machine learning model management a joy for you!
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Updated
Jun 11, 2023 - TypeScript
Hi, we are ML Aide, and our purpose is making machine learning model management a joy for you!
MLAide documentation
ML model deployment using docker, kubernetes; API deployment with FastAPI; and MLOps using MLFlow for water potability dataset
A wrapper library for LeapAI's APIs to make integrating AI into your .NET apps a breeze
A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like
Contains the python client library for ML Aide
This project contains several tutorials that demonstrate the usage of the Python Client
📝 Transform text into structured, validated output using pattern matching for consistent formatting—ideal for summaries, feedback categorization, and reports.
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