zademn/mnist-mlops-learning
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
This project helps MLOps engineers, data scientists, and machine learning practitioners build and manage a complete digit recognition application. It takes raw image data of handwritten digits as input and provides trained models for digit classification, along with predictions on new images. You can also track and compare different machine learning experiments.
107 stars. No commits in the last 6 months.
Use this if you are an MLOps engineer or data scientist looking to understand how to integrate MLflow, Streamlit, and FastAPI into a machine learning application for training, tracking, and serving models.
Not ideal if you are an end-user simply looking for a tool to recognize digits without needing to understand or build the underlying machine learning infrastructure.
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107
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22
Language
Python
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Last pushed
Oct 28, 2021
Commits (30d)
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