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 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
A wrapper library for LeapAI's APIs to make integrating AI into your .NET apps a breeze
Contains the python client library for ML Aide
This project contains several tutorials that demonstrate the usage of the Python Client
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