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Showing 2 open source projects for "process control kill"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Cross Attention Control
Unofficial implementation of "Prompt-to-Prompt Image Editing
Cross Attention Control is an unofficial Stable Diffusion implementation of Prompt-to-Prompt image editing with cross-attention control. It modifies diffusion-model attention maps during inference so prompt changes can produce more controlled edits. The method is designed to avoid manual masks while requiring no additional training or fine-tuning. The notebooks include examples for editing images generated from the same seed. -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies...
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