GitHub topics: machine-learning-lifecycle
machine-learning-apps/ml-template-azure 📦
Template for getting started with automated ML Ops on Azure Machine Learning
Language: Python - Size: 208 KB - Last synced at: 23 days ago - Pushed at: almost 3 years ago - Stars: 128 - Forks: 87
abhipatel35/ML-Regression-Lifecycle
Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
Language: Python - Size: 27.3 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
4pygmalion/mlflow
Easy to deploy MLFlow(machine learning lifecycle system)
Language: Shell - Size: 17.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
MGTheTrain/ml-ops-ftw 📦
Repository showcasing ML Ops practices with kubeflow and mlflow
Language: HCL - Size: 1.69 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
AllieUbisse/mlflow_gcp
This Repository is intended to help automate the MLFLOW with GCP setup. Feel free to use it and follow the README directions.
Language: Shell - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
