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Showing 3 open source projects for "github"
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Build AI Apps with Gemini 3 on Vertex AIVertex AI gives developers access to Gemini 3—Google’s most advanced reasoning and coding model—plus 200+ foundation models including Claude, Llama, and Gemma. Build generative AI apps with Vertex AI Studio, customize with fine-tuning, and deploy to production with enterprise-grade MLOps. 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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ChatGPT-Reviewer
Automated pull requests reviewing and issues triaging with ChatGPT
...The ChatGPT reviewer PRs are also getting reviewed by ChatGPT, refer the pull requests for the sample review comments. In order to protect public repositories for malicious users, Github runs all pull request workflows raised from repository forks with a read-only token and no access to secrets. -
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Img2Txt
Img2Txt - Extract Text From Images using AI
...Support me at : https://www.buymeacoffee.com/zsynctic it will motivate me and it will make me create more projects Support For any questions or issues, please open an issue on the Img2Txt GitHub repository. Warning: When running Img2Txt.exe a Blue Window Might Popup. To Run The Application You Have To Press More Info And Then Run Anyways. © zSynctic -
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Flowly AI
Flowly is 100x faster than OpenClaw
FlowlyAI, as suggested by the repository name, appears to be a project aimed at building tools or frameworks that harness artificial intelligence to automate and streamline workflows, though the GitHub repository itself does not have a strong public description available. Based on the name, it likely focuses on enabling developers or teams to define, orchestrate, and execute AI-driven processes, perhaps combining data inputs, model calls, and conditional logic into reusable flows. Projects like this often include a set of components for creating modular AI tasks, connecting data sources, and integrating with APIs so that complex automation can run with minimal boilerplate. ...
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