huang_XZ/moon_diffusion_lab：MoonDiffusionLab 是基于 MoonBit 纯原生构建的扩散模型（Diffusion Model）原理教学与实验工具箱。项目摒弃了复杂庞大的深度学习框架依赖与高算力黑盒推理，聚焦于 1D/2D 拓扑流形（如双月分布、瑞士卷、高斯环等）在物理时间轴上的加噪与去噪全流程探索。项目系统实现了线性/余弦噪声方差调度（Noise Schedules）、基于贝叶斯推导的后验解析评分场（Ana

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refactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission

2小时前11次提交

cmdrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
corerefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
datasetrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
diffusionrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
modelrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
schedulerefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
visualizerefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
.gitignorechore: initialize MoonDiffusionLab project structure2小时前
LICENSEchore: initialize MoonDiffusionLab project structure2小时前
OSC2026_SELF_REVIEW.mdrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
PROPOSAL.mdrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
README.mbt.mdrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
README.mdrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前
moon.modrefactor: update package namespace to hxiuzheng/moon_diffusion_lab and add PROPOSAL.md for OSC 2026 submission2小时前

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MoonDiffusionLab 是基于 MoonBit 纯原生构建的扩散模型（Diffusion Model）原理教学与实验工具箱。项目摒弃了复杂庞大的深度学习框架依赖与高算力黑盒推理，聚焦于 1D/2D 拓扑流形（如双月分布、瑞士卷、高斯环等）在物理时间轴上的加噪与去噪全流程探索。项目系统实现了线性/余弦噪声方差调度（Noise Schedules）、基于贝叶斯推导的后验解析评分场（Ana

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