Open the hood on neural networks. Component-level model surgery, analysis, and composition.
-
Updated
Apr 5, 2026 - Python
Open the hood on neural networks. Component-level model surgery, analysis, and composition.
SafeTensors parsing, validation, bounded slicing, checksums, deterministic writing, and row-chunk helpers for Elixir and Nx.
Nx SVD/SVF factorization primitives for neural network model surgery and TRINITY artifact export.
Deterministic tensor patch plans, patch application, and tensor path traversal for neural network model surgery.
Public EPI research scaffold for energy-aware AI evaluation, measurement discipline, and claim boundaries.
Add a description, image, and links to the model-surgery topic page so that developers can more easily learn about it.
To associate your repository with the model-surgery topic, visit your repo's landing page and select "manage topics."