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Explain neural-network architectures layer by layer in five linked views (structure, plain words, math, naive code, optimized code). An MCP server + local renderer driven by your own LLM subscription.
pip install nnlens
PyPI declares 3 unique dependency rules for this release. Environment markers are shown when supplied by the project.
nnlens publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .