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具身仿真合成挑战赛 Baseline(历史 67+ 候选复现)
·
16 commits
to master
since this release
内容
- 路径 A:无需 GPU,精确重建历史 67.6000 候选的同一字节
- 路径 B:从 question.zip 与 submission_example.zip 开始的 GPU 资产重建流程
- 包含 OpenUSD、ZIP 与轻量物理校验
- 包含阿里云 GPU 环境说明与完整复现文档
校验
Release ZIP SHA-256:
83c7860b1545900dee8f72988b958fc4b930702d45150da42f8f5b859fd95527
历史候选 MD5:
a220303381c7bb8886684778e34689df
历史候选 SHA-256:
2e979d08d10a785e0c47a4a1ba923131a52c8e53970bb0578f815893585e8d4b
What's Changed
- DIDI LGB CODE by @AiIsBetter in #2
- docs: fix typos in multiple markdown files by @songwingzero in #6
New Contributors
- @AiIsBetter made their first contribution in #2
- @songwingzero made their first contribution in #6
Full Changelog: https://github.com/ben1234560/AiLearning-Theory-Applying/commits/embodied-simulation-baseline