neuron-explorer
Steering-first neuron explorer for Qwen3.5-4B: push every MLP neuron, keep every rollout, browse the results
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
个人 GitHub 账号下公开仓库的所有者可以登录并验证所有权,自行管理介绍,无需管理员批准。
登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
如需登录,将前往登录页面。登录后请回到此处,再次点击所选的验证按钮。
在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证Laya-Pro is a local decision engine with typed choices, scores and yes/no decisions, retention-aware caching, local MCP tools and Python, TypeScript, Java and .NET integrations.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
Laya-Pro is a local AI decision engine for classification, scoring and yes/no questions.
Use it for ticket routing, moderation, guardrails and structured decisions in your own applications.
It runs on your hardware through Python or ONNX Runtime, with HTTP and local MCP interfaces.
Built on Laya, this fork adds configurable decision
retention, replay across devices and precision modes, and optimizations around inference.
The pretrained models remain upstream Laya checkpoints; the fork maintains its own code,
SDKs, documentation and measurements.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
Laya-Pro is a local AI decision engine for classification, scoring and yes/no questions.
Use it for ticket routing, moderation, guardrails and structured decisions in your own applications.
It runs on your hardware through Python or ONNX Runtime, with HTTP and local MCP interfaces.
Built on Laya, this fork adds configurable decision
retention, replay across devices and precision modes, and optimizations around inference.
The pretrained models remain upstream Laya checkpoints; the fork maintains its own code,
SDKs, documentation and measurements.查看完整 README ↗