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maafw

基于图像识别的自动化黑盒测试框架 | An automation black-box testing framework based on image recognition

glassbox-mech-interp

Mechanistic interpretability + EU AI Act Annex IV compliance. 21/21 frameworks: ACDC edge-circuit discovery, multi-arch GQA/RMSNorm adapter (Llama-3/Mistral/Phi-3), cross-model comparison, causal scrubbing, DAS, Hessian bounds, BH FDR, folded LayerNorm, SAE polysemanticity, multi-corruption, held-out validation. Dual-licensed (MIT core + BSL 1.1 compliance engine).

dnn-inference

Significance tests of feature relevance for a black-box learner

nitpicker

A CLI tool for black-box testing

glassbox-mcp

Open-source EU AI Act Annex IV compliance toolkit. Mechanistic interpretability + circuit discovery for transformers. One function call generates a court-ready evidence package