周翔宇 xzhou

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• Joined on 2026-08-27

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xzhou pushed to main at xzhou/ModelTrainEval 2026-09-04 14:26:24 +08:00

a92d1125d4 fix: uv 换源至清华源

xzhou pushed to main at xzhou/ModelTrainEval 2026-09-03 15:47:39 +08:00

4550fdfa8e feat(cluster): add ImageNet pre-trained model section and adjust batch sizes

xzhou pushed to main at xzhou/ModelTrainEval 2026-09-03 09:34:57 +08:00

345dee50da feat(simclr): 支持断点续训，恢复优化器与调度器状态

xzhou pushed to main at xzhou/ModelTrainEval 2026-09-03 09:24:41 +08:00

be6173c746 feat(simclr): 接入 SwanLab 可视化，并补上本地看板缺失的依赖

xzhou pushed to main at xzhou/ModelTrainEval 2026-09-03 09:10:38 +08:00

7d5b6ec423 docs(readme): 补全 SimCLR 训练与复用权重聚类的完整流程

xzhou pushed to main at xzhou/ModelTrainEval 2026-09-02 21:43:59 +08:00

938d62ea53 docs: SimCLR 域内自监督的实测对比与多后端说明

b6f83fcad0 fix(simclr): 周期性落盘，中途中断不再丢失训练成果

141cb907f2 feat: 支持 cuda / mps / cpu 三后端，Mac 上可用 MPS 训练

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xzhou pushed to main at xzhou/ModelTrainEval 2026-09-02 17:56:12 +08:00

4fc0fa5353 docs: 无监督聚类的数学说明、mermaid 图与 README

d6adea5b05 test: 单元测试与端到端冒烟

f433e5cf59 feat: 未分类样本的无监督聚类（多 stage 特征 + KMeans，可选 SimCLR）

4b1147ed8f feat(scripts): 数据转换、ONNX 导出与推理性能分析

b0d0dfffbb feat: 训练与评估入口及 yaml 配置

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xzhou created repository xzhou/ModelTrainEval 2026-09-01 16:48:34 +08:00