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A compact collection of LLM architectures and training techniques implemented from scratch in Python for learning and experimentation.

Autocomp is a portable, extensible framework for LLM-driven kernel optimization across tensor accelerators. Point it at a kernel, pick your hardware target, and Autocomp speeds it up, automatically.