A simple microservice application to track machine learning experiments
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Updated
May 8, 2019 - Python
A simple microservice application to track machine learning experiments
Multi Cloud Model Management System for Machine Learning
Cross-platform Python client for the CodeReef.ai portal to manage portable workflows, reusable automation actions, software detection plugins, meta packages and dashboards for crowd-benchmarking:
Deploy your ML pipelines effortlessly, scalably and reliably
ML DevOps using GitHub Actions and Azure Machine Learning
python sacred example for pytorch
Integrating ML and DevOps for Higher Automation
Code for Pento's blog post Scaling Computer Vision models with Dataflow.
GitHub Action For Running You Experiment With Allegro Trains
GitHub Action For Retrieving You Experiment With Allegro Trains
python package scaffold template for ML applications
Simple MLOps template for real time model deployments using Azure Machine Learning and Azure DevOps
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