Search Results for "google framework"
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Showing 3 open source projects for "google framework"
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Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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Easily Host LLMs and Web Apps on Cloud RunRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.
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GraphicsFuzz
A testing framework for automatically finding and simplifying bugs
GraphicsFuzz is a framework developed by Google for testing and fuzzing graphics drivers using automatically generated GLSL shaders. It helps identify security vulnerabilities, driver crashes, and rendering inconsistencies in OpenGL and Vulkan drivers by feeding them randomized but valid shader programs. Originally developed through academic research, GraphicsFuzz automates the process of minimizing and analyzing problematic shaders, helping hardware vendors and driver developers improve the reliability and robustness of their graphics stack. -
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ILA - teachable voice assistant
ILA is a fully customizable and teachable voice assistant for Java
...The goal is to make ILA completely free of Google by improving all aspects of the open source systems. Since version 3.3 users can also write own add-ons to extend ILA. ILA's successor is the SEPIA Framework: https://sepia-framework.github.io/ Hope you enjoy ILA - Florian -
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NESD-Imaging is a 2D rendering framework for Java. It combines JAI and Java2D and extends them by providing lazy rendering (do not block UI). It provides geo-positionned images rendering (à la google-map). It scales well to large image set (>500GB).
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