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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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a7d21260e4
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fix: ginka 处理后不退出
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2025-04-30 21:42:35 +08:00 |
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10e6ad6394
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fix: 训练循环 & 怪物数据处理
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2025-04-30 21:35:53 +08:00 |
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1cded87530
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fix: 血瓶数据处理
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2025-04-30 21:08:50 +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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44d6c7410e
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feat: 数据集密度占比
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2025-04-29 21:57:55 +08:00 |
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8add448195
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feat: ginka 数据集生成工具生成新版数据集
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2025-04-29 20:47:05 +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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a28e56456d
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Merge branch 'master' of github.com:unanmed/ginka-generator
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2025-04-28 22:52:00 +08:00 |
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afde7be592
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feat: 新的数据处理方式
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2025-04-28 22:51:53 +08:00 |
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30bf95d493
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feat: save model as deployment
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2025-04-28 14:26:54 +08:00 |
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f8d6160e5f
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feat: app init & new ginka data process
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2025-04-27 20:55:35 +08:00 |
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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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a94b07bda8
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feat: 改进训练流程
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2025-04-20 22:06:20 +08:00 |
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87016c67e8
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feat: 改进输出头和特征融合
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2025-04-19 15:05:26 +08:00 |
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ef0b7ffba2
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fix: 修复损失值计算
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2025-04-16 21:54:53 +08:00 |
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9b5abf177c
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feat: 添加 js 散度损失
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2025-04-16 18:39:17 +08:00 |
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87bada8553
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docs: 修改 README
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2025-04-14 14:17:32 +08:00 |
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447c28ff5e
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perf: 修改损失值计算方式
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2025-04-14 14:15:13 +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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8130296e1f
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perf: 调优部分超参数
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2025-04-06 21:19:18 +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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d7209a68a2
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feat: 记录训练过程
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2025-04-03 13:36:05 +08:00 |
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6a1aeaa77e
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fix: 浮点数被意外转成 LongTensor
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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
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2025-04-02 17:57:02 +08:00 |
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8dea79a9f0
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feat: 使用 IPC 通讯并实现单脚本对抗训练
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2025-04-01 22:41:23 +08:00 |
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4721e9a141
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feat: 改进生成器网络
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2025-04-01 12:53:52 +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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4f7dbb6fb3
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fix: 训练报错
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2025-03-30 17:01:59 +08:00 |
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5669f49af0
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refactor: UNet 部分重写并改为条件注入模式
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2025-03-30 13:48:01 +08:00 |
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49ee543732
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fix: 数据集报错
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2025-03-26 22:44:11 +08:00 |
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8f892fc7f4
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feat: 优化图块数量损失函数
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2025-03-26 21:25:09 +08:00 |
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a5510ef211
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feat: 改进模型与相似度计算
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2025-03-26 21:06:28 +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
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2025-03-25 21:12:30 +08:00 |
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87f48dc8ee
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feat: 合并可选是否允许重复键
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2025-03-24 17:16:57 +08:00 |
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f169167409
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feat: 提高参数量
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2025-03-24 16:59:53 +08:00 |
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724b6612d3
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feat: 加大判别器参数
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2025-03-24 13:48:30 +08:00 |
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23e46263d8
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fix: 调整经验回放位置
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2025-03-23 13:11:55 +08:00 |
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d7d99c770f
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feat: 对抗生成时添加经验回放
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2025-03-23 13:11:19 +08:00 |
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