utils、xxydataset、models
定义一些用到的函数、数据集、生成器和鉴别器模型
train_gan、train_cgan、train_wgan、train_wgan-gp
训练模型
xls文件
记录模型收敛过程的数据用于绘制收敛曲线
distance_test
对一个模型做碱基距离测试
find-best-model
找到在测试集上表现最好的模型
gen_img和plot_img
用指定的模型预测指定的数据集并保存为图片、展示预测的图片
毕业设计-基于生成对抗网络的Hi-C数据增强方法.zip
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毕业设计-基于生成对抗网络的Hi-C数据增强方法.zip （91个子文件） 
project_okey 
xxydataset.py 1KB distance_test.ipynb 28KB utils.py 2KB train_wgan.ipynb 109KB find-best-model-CGAN.ipynb 14KB runs May29_19-04-22_icrc-A100 events.out.tfevents.1653822263.icrc-A100.2753103.0 40B May23_11-28-17_icrc-A100 events.out.tfevents.1653276498.icrc-A100.1307535.0 40B May22_15-33-29_icrc-A100 events.out.tfevents.1653204810.icrc-A100.130283.0 40B May21_16-08-17_icrc-A100 events.out.tfevents.1653120500.icrc-A100.3777034.0 40B May21_20-16-46_icrc-A100 events.out.tfevents.1653135407.icrc-A100.3874490.0 40B May29_03-36-28_icrc-A100 events.out.tfevents.1653766591.icrc-A100.2564658.0 40B May22_19-17-17_icrc-A100 events.out.tfevents.1653218238.icrc-A100.342492.0 40B May22_21-21-21_icrc-A100 events.out.tfevents.1653225682.icrc-A100.493866.0 40B May21_17-17-57_icrc-A100 events.out.tfevents.1653124678.icrc-A100.3837846.0 40B May23_10-37-31_icrc-A100 events.out.tfevents.1653273452.icrc-A100.1146546.0 40B train_cgan.ipynb 114KB train_gan.ipynb 229KB models.py 7KB gen_img-CGAN.ipynb 13KB train_wgan-gp.ipynb 100KB find-best-model.ipynb 10KB model best_checkpoint_epoch2991.pth 30.76MB best_checkpoint_epoch3840.pth 30.76MB best_checkpoint_epoch3664.pth 30.76MB best_checkpoint_epoch3468.pth 30.76MB best_checkpoint_epoch3704.pth 30.76MB plot_img.ipynb 85KB
log_cgan.xls 50KB log_wgan.xls 1.51MB __pycache__ models.cpython-38.pyc 6KB xxydataset.cpython-37.pyc 1KB xxydataset.cpython-38.pyc 2KB utils.cpython-38.pyc 7KB models.cpython-37.pyc 5KB utils.cpython-37.pyc 8KB xxydataset.cpython-36.pyc 1KB models.cpython-36.pyc 4KB utils.cpython-36.pyc 3KB distance_test-CGAN.ipynb 118KB log_wgan-gp.xls 497KB .ipynb_checkpoints distance_test-CGAN-checkpoint.ipynb 73KB train_gan-checkpoint.ipynb 17KB models-checkpoint.py 7KB gen_img-CGAN-checkpoint.ipynb 13KB plot_img-checkpoint.ipynb 42KB find-best-model-checkpoint.ipynb 19KB train_wgan-checkpoint.ipynb 155KB train_cgan-checkpoint.ipynb 114KB
readme-checkpoint.txt 451B xxydataset-checkpoint.py 1KB utils-checkpoint.py 2KB distance_test-checkpoint.ipynb 20KB gen_img-checkpoint.ipynb 5KB find-best-model-CGAN-checkpoint.ipynb 16KB train_wgan-gp-checkpoint.ipynb 117KB gen_img.ipynb 5KB Web_Sys utils.py 8KB make_short_data.ipynb 2KB Generate.py 5KB models.py 7KB templates 
result.html 2KB upload.html 2KB base.html 2KB index.html 1KB .ipynb_checkpoints upload-checkpoint.html 2KB index-checkpoint.html 1KB result-checkpoint.html 2KB base-checkpoint.html 2KB run.py 3KB model G.pth 30.76MB __pycache__ Generate.cpython-36.pyc 4KB models.cpython-36.pyc 4KB utils.cpython-36.pyc 7KB static data picture 
1_lr.png 14KB 4_lr.png 10KB 4_sr.png 15KB 2_lr.png 13KB 1_sr.png 15KB 2_sr.png 14KB 3_sr.png 15KB 5_sr.png 15KB 5_lr.png 10KB 3_lr.png 11KB high_resolution.hkl 41KB low.hkl 2.64MB css style.css 45KB .ipynb_checkpoints run-checkpoint.py 3KB Generate-checkpoint.py 5KB make_short_data-checkpoint.ipynb 2KB log_gan.xls 3.21MB readme.txt 451B资源评论
