Are you sure you want to delete this access key?
This repository is an example that illustrate how dvc together with streamlit can help tracking the model performance during R&D exploration.
It contains scripts that:
The python code is not the purpose of this repository. It is adapted from the transfer learning Tensorflow tutorial.
Data, metrics, model weights produced during the training and evaluation processed are tracked using dvc while a streamlit app allows to visually explore model predictions and compare trained models.
Install dependencies with pip:
pip install -r requirements.txt
Press p or to see the previous file or, n or to see the next file
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?