mlops-with-vertex-ai
generative-ai
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| mlops-with-vertex-ai | generative-ai | |
|---|---|---|
| 2 | 1 | |
| 327 | 5,396 | |
| 2.1% | 10.7% | |
| 0.0 | 9.7 | |
| 12 months ago | 5 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mlops-with-vertex-ai
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Where to start?
To take it to the next level, maybe start to dive into a truer "end-to-end mlops" example.
- GitHub - GoogleCloudPlatform/mlops-with-vertex-ai: An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
generative-ai
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Google Imagen 2
I've used the code based on similar examples from GitHub [1]. According to docs [2], imagegeneration@005 was released on the 11th, so I guessed it's Imagen 2, though there are no confirmations.
[1] https://github.com/GoogleCloudPlatform/generative-ai/blob/ma...
[2] https://console.cloud.google.com/vertex-ai/publishers/google...
What are some alternatives?
MLOps - MLOps examples
IF
mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.
sd-webui-lobe-theme - 🅰️ Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
generative-ai-for-beginners - 18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
nitroml - NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
vertex-ai-samples - Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud
amazon-sagemaker-examples - Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.