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https://github.com/msusazureaccelerators/intelligent-supply-chain-management
The Supply Chain Management Accelerator leverages deep learning forecasts, Azure Machine Learning and distributed computing with a Ray Cluster, to simulate an inventory optimization problem using synthetic data. It allows you to also run other simulations, using a PowerApps user-interface connected directly to the Azure Kubernetes Instance running
https://github.com/msusazureaccelerators/intelligent-supply-chain-management
accelerator ai azure deep-learning machine-learning microsoft ml optimization power-apps power-bi ray-cluster supply-chain-management
Last synced: about 2 months ago
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The Supply Chain Management Accelerator leverages deep learning forecasts, Azure Machine Learning and distributed computing with a Ray Cluster, to simulate an inventory optimization problem using synthetic data. It allows you to also run other simulations, using a PowerApps user-interface connected directly to the Azure Kubernetes Instance running
- Host: GitHub
- URL: https://github.com/msusazureaccelerators/intelligent-supply-chain-management
- Owner: MSUSAzureAccelerators
- License: mit
- Created: 2023-05-19T18:54:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-06-09T01:08:51.000Z (over 1 year ago)
- Last Synced: 2023-06-09T02:23:51.540Z (over 1 year ago)
- Topics: accelerator, ai, azure, deep-learning, machine-learning, microsoft, ml, optimization, power-apps, power-bi, ray-cluster, supply-chain-management
- Language: Jupyter Notebook
- Homepage:
- Size: 11.3 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 1