Hi everyone,
I am the lead developer of TorchQuery, an open-source project focused on mitigating silent data corruption in large-scale PyTorch tensor operations. The engine currently focuses on high-speed logical masking and memory-safe tensor health checks.
As the project enters its next phase of development, I am looking to bring on a second maintainer to collaborate on architecture design and future features.
What I am looking for in a collaborator:
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Experience with low-level PyTorch tensor operations.
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A strong focus on clean, modular, and secure code implementation.
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Interest in contributing to architectural planning and maintaining high-performance standards.
My goal is to keep the codebase lightweight and highly efficient. If you are an engineer or researcher interested in contributing to a specialized tensor-security library, please reach out via a reply to this thread or check out the project’s technical documentation.
Looking forward to discussing potential architectural improvements with like-minded developers.