neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
翻譯準備中
單一正規綱要與資料模型,適用於 JSON、YAML、 TOML、XML — 具可判定的綱要代數,可證明綱要變更安全,而非猜測。五個獨立語言埠口,單一規格。
AI 翻譯
One canonical schema and data model for JSON, YAML, TOML, XML — with a decidable schema algebra that proves schema changes are safe instead of guessing. Five independent language ports, one spec.
開發工具PythonGitHub @omnist-dev上線中營運者未確認
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Omnist 的 Python 參考實作:單一資料模型,多種格式 — JSON、YAML、 TOML、XML 與 OML。
AI 翻譯
Python reference implementation of Omnist: one data model, many formats — JSON, YAML, TOML, XML, and OML.
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Omnist ("omni-structure") is one canonical data model for JSON, YAML,
TOML, XML, and its own native OML (Omnist Markup Language) — read any of
them into a single tree, validate it against a schema, compare schema
versions, and write it back out to any of the others.
Three things you can do with Omnist that are genuinely hard anywhere else:檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
Omnist ("omni-structure") is one canonical data model for JSON, YAML,
TOML, XML, and its own native OML (Omnist Markup Language) — read any of
them into a single tree, validate it against a schema, compare schema
versions, and write it back out to any of the others.
Three things you can do with Omnist that are genuinely hard anywhere else:檢視完整 README ↗