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. | ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package. | MLflow is an open source platform for managing the end-to-end machine learning lifecycle. |
| - | Image labeling - Identify objects, locations, activities, animal species, products, and more; Text recognition (OCR) - Recognize and extract text from images; Face detection - Detect faces and facial landmarks; Barcode scanning - Scan and process barcodes;
Landmark detection -
Identify popular landmarks in an image; Smart reply - Provide suggested text snippet that fits context | 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 |
Statistics | ||
GitHub Stars - | GitHub Stars - | GitHub Stars 22.8K |
GitHub Forks - | GitHub Forks - | GitHub Forks 5.0K |
Stacks 205 | Stacks 137 | Stacks 222 |
Followers 585 | Followers 209 | Followers 524 |
Votes 18 | Votes 0 | Votes 9 |
Pros & Cons | ||
Pros
| No community feedback yet | Pros
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Integrations | ||
| No integrations available | No integrations available | |

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