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🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Updated
Mar 11, 2022
Python
⏱️ Make Laravel model versionable
🔖 Experiment tracker and model registry. Machine learning (ML) experiment tracking and management, model and dataset versioning, live monitoring.
Updated
Mar 11, 2022
Python
Cloud Native Machine Learning Model Registry
Laravel Model history tracking made easy
Simplified snapshots and restoration for ActiveRecord models and associations with a transparent white-box implementation
A lightweight command line interface for the management of arbitrary machine learning tasks
Updated
Jan 29, 2021
Python
Frictionless Machine Learning on Kubernetes
A Model Management Platform (MMP) for Industry 4.0 Environments (Frontend)
Updated
Oct 28, 2020
TypeScript
A Model Management Platform (MMP) for Industry 4.0 Environments (Backend)
Model versioning using Weight&Biases with Python.
Updated
Feb 10, 2022
Python
Deploying a Machine Learning Model on Heroku with FastAPI using CI/CD tools as GitHub Actions and Heroku Automatic Deployment.
Updated
Jul 28, 2021
Jupyter Notebook
Updated
Apr 7, 2020
Python
Learning data and model versioning with ClearML while cleaning and modeling happiness by country with a Kaggle dataset
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How do we retrieve experiment metadata like tags and attrs, after it has been set using set_experiment. I am using the latest python client 0.14.6. Not able to read that info from the object returned by set_experiment.