Open the hood on neural networks. Component-level model surgery, analysis, and composition.
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Updated
Aug 22, 2026 - Python
Open the hood on neural networks. Component-level model surgery, analysis, and composition.
A local AI model training, distillation, model surgery, GGUF conversion, and Ollama export workbench. 本地 AI 模型训练、蒸馏、模型手术与导出工具箱。
Deterministic tensor patch plans, patch application, and tensor path traversal for neural network model surgery.
Nx SVD/SVF factorization primitives for neural network model surgery and TRINITY artifact export.
Public EPI research scaffold for energy-aware AI evaluation, measurement discipline, and claim boundaries.
SafeTensors parsing, validation, bounded slicing, checksums, deterministic writing, and row-chunk helpers for Elixir and Nx.
Turn any HF LLM into an attention+recurrent hybrid in minutes on one consumer GPU: per-layer surgery, teacher distillation, executable-exam gating.
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