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5be9decf95
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perf: 优化训练流程，改进判别器与损失值
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2025-04-27 14:39:03 +08:00 |
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f6b1ad6ebd
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refactor: 课程训练
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2025-04-13 21:06:07 +08:00 |
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99f46150be
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perf: 改进 WGAN 训练
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2025-04-10 22:42:58 +08:00 |
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268b21e0b7
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perf: 调优超参数和模型
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2025-04-07 16:41:27 +08:00 |
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29cfb4d029
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refactor: 改为 Wasserstein GAN
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2025-04-06 18:44:18 +08:00 |
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6a1aeaa77e
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fix: 浮点数被意外转成 LongTensor
|
2025-04-03 12:12:13 +08:00 |
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325eb599c3
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feat: 支持流式传输，改进数据集
|
2025-04-02 17:57:02 +08:00 |
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96f828e29b
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feat: 修改 ginka 模型的损失值计算
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2025-03-31 13:46:33 +08:00 |
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def3cc5c3f
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fix: 损失值权重
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2025-03-25 21:31:56 +08:00 |
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8872de3f13
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feat: 改进判别器与生成器网络
|
2025-03-25 21:12:30 +08:00 |
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724b6612d3
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feat: 加大判别器参数
|
2025-03-24 13:48:30 +08:00 |
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be20925fc8
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feat: 谱归一化
|
2025-03-23 12:53:28 +08:00 |
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eb0626ef88
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feat: 增加 Minamo Model 模型深度
|
2025-03-22 11:56:14 +08:00 |
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cb9e67dff7
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refactor: Minamo Model 改为 softmax 输入
|
2025-03-19 21:13:51 +08:00 |
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1566acf691
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refactor: 重构 ginka 模型部分
|
2025-03-18 21:11:53 +08:00 |
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09b66f2569
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refactor: 余弦相似度部分单独拉出来计算
|
2025-03-18 18:22:19 +08:00 |
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1ebd03390d
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feat: minamo model 修改为余弦退火+重启调度
|
2025-03-17 22:10:06 +08:00 |
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c8d5c84ee5
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feat: minamo vision 修改为 CBAM 注意力
|
2025-03-17 20:56:42 +08:00 |
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ef9d3d1504
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refactor: minamo vision 改为向量输出
|
2025-03-17 19:50:46 +08:00 |
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7d0f567cc1
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perf: 优化 Minamo 网络参数
|
2025-03-17 11:16:07 +08:00 |
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41a9e21247
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feat: 优化图卷积深度
|
2025-03-16 23:47:13 +08:00 |
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b43a8693ef
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refactor: 拓扑改为图卷积结构
|
2025-03-16 22:47:38 +08:00 |
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0910bddba2
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perf: 优化网络参数
|
2025-03-16 20:43:37 +08:00 |
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c34756016d
|
refactor: Minamo Model 改为双特征提取通道
|
2025-03-16 16:31:40 +08:00 |
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|
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9f62be3736
|
init: Minamo Model
|
2025-03-15 22:26:31 +08:00 |
|
