The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions. | MLflow is an open source platform for managing the end-to-end machine learning lifecycle. | numericaal automates model optimization and management so you can focus on data and training. |
| - | Track experiments to record and compare parameters and results; Package ML code in a reusable, reproducible form in order to share with other data scientists or transfer to production; Manage and deploy models from a variety of ML libraries to a variety of model serving and inference platforms | MODEL RESOURCE OPTIMIZATION - We automatically run multiple toolchains to give you the best speed, power and memory tradeoff on every model change.; CROSS-PLATFORM MODEL ANALYTICS - We measure on-device speed and power usage to help you evaluate and compare models across hardware platforms.; BOTTLENECK IDENTIFICATION - We help you pinpoint performance bottlenecks and focus your model optimization on layers that matter the most. |
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GitHub Stars - | GitHub Stars 22.8K | GitHub Stars - |
GitHub Forks - | GitHub Forks 5.0K | GitHub Forks - |
Stacks 205 | Stacks 222 | Stacks 0 |
Followers 585 | Followers 524 | Followers 18 |
Votes 18 | Votes 9 | Votes 0 |
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