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7ae4ae4572
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chore: 增大 RNN 参数量
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2025-12-13 21:34:59 +08:00 |
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4d1179bcfb
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feat: 训练时使用 target_map 做局部提取而不是自己输出的内容
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2025-12-13 19:57:06 +08:00 |
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d42c2eee43
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fix: 修改超参数
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2025-12-13 19:46:09 +08:00 |
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ae53194694
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chore: 修改 batch_size
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2025-12-13 19:14:48 +08:00 |
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27b8c56cd2
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fix: inplace
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2025-12-13 17:48:51 +08:00 |
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771553b8b8
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feat: rnn train
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2025-12-13 17:38:57 +08:00 |
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c79662089b
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feat: RNN 融合编码
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2025-12-13 13:03:19 +08:00 |
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1ccac9e60d
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fix: rnn
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2025-12-12 16:41:27 +08:00 |
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7fb1625e0b
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feat: rnn
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2025-12-12 14:57:06 +08:00 |
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5586ea1039
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chore: 微调模型
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2025-06-14 15:06:09 +08:00 |
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fb0323d874
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perf: 改进生成流程与损失计算
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2025-05-15 17:44:29 +08:00 |
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fa48863946
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perf: 模型微调
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2025-05-11 23:50:08 +08:00 |
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21b693ec21
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feat: 图卷积部分换用 TransformerConv
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2025-05-09 13:07:03 +08:00 |
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7b138c66d9
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perf: 加强 GCN 部分
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2025-05-08 18:42:15 +08:00 |
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55f09fb37b
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perf: 改进输入部分
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2025-05-07 15:38:31 +08:00 |
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d800a2382b
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feat: 当前阶段条件注入
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2025-05-02 15:20:58 +08:00 |
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e3e496957c
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feat: 损失值改进
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2025-05-02 13:59:56 +08:00 |
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53041ab754
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perf: 改进网络结构
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2025-05-01 22:08:39 +08:00 |
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dc1eb8fa92
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feat: 提高标量数量
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2025-04-30 21:00:45 +08:00 |
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44b90e7630
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refactor: 修改目录结构 & feat: 条件注入
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2025-04-29 18:24:01 +08:00 |
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