Loom
Analytical neural computer architecture for executing compiled programs inside looped transformers.
Loom explores a training-free neural computer built as a looped transformer with analytically derived weights that can execute compiled programs inside a fixed architecture.
The public release connects systems research to usable artifacts. It includes a C-to-ISA compilation path, ONNX exports, Hugging Face model assets, WebGPU browser demos, FPGA verification, and a large regression test suite for validating programs under the same fixed-weight computational model.
- Role: Creator and maintainer
- Artifacts: GitHub implementation, browser demos, Hugging Face ONNX models, FPGA verification artifacts, and 140+ tests
- Keywords: Analytical weights, looped transformers, neural computers, C compilation, ONNX Runtime WebGPU, FPGA verification, client-side demos
Links: GitHub, arXiv, demos, Hugging Face.
