文件名称:智能运维 多变量生成对抗网络异常检测

介绍说明--下载内容均来自于网络,请自行研究使用

多变量生成对抗网络异常检测,是对时间序列的分析作者是新加坡国立大学的学生,算法名称是MAD-gans
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : MAD-GANs-master.zip 列表
MAD-GANs-master/
MAD-GANs-master/.gitattributes
MAD-GANs-master/AD.py
MAD-GANs-master/AD_Invert.py
MAD-GANs-master/DR_discriminator.py
MAD-GANs-master/README.md
MAD-GANs-master/RGAN.py
MAD-GANs-master/__pycache__/
MAD-GANs-master/__pycache__/DR_discriminator.cpython-36.pyc
MAD-GANs-master/__pycache__/data_utils.cpython-36.pyc
MAD-GANs-master/__pycache__/eugenium_mmd.cpython-36.pyc
MAD-GANs-master/__pycache__/eval.cpython-36.pyc
MAD-GANs-master/__pycache__/mmd.cpython-36.pyc
MAD-GANs-master/__pycache__/mod_core_rnn_cell_impl.cpython-36.pyc
MAD-GANs-master/__pycache__/model.cpython-36.pyc
MAD-GANs-master/__pycache__/plotting.cpython-36.pyc
MAD-GANs-master/__pycache__/tf_ops.cpython-36.pyc
MAD-GANs-master/__pycache__/utils.cpython-36.pyc
MAD-GANs-master/data/
MAD-GANs-master/data/data.7z
MAD-GANs-master/data_utils.py
MAD-GANs-master/differential_privacy/
MAD-GANs-master/differential_privacy/dp_sgd/
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/dp_optimizer.cpython-35.pyc
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/dp_optimizer.cpython-36.pyc
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/sanitizer.cpython-35.pyc
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/sanitizer.cpython-36.pyc
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/utils.cpython-35.pyc
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/__pycache__/utils.cpython-36.pyc
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/dp_optimizer.py
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/sanitizer.py
MAD-GANs-master/differential_privacy/dp_sgd/dp_optimizer/utils.py
MAD-GANs-master/differential_privacy/privacy_accountant/
MAD-GANs-master/differential_privacy/privacy_accountant/tf/
MAD-GANs-master/differential_privacy/privacy_accountant/tf/__pycache__/
MAD-GANs-master/differential_privacy/privacy_accountant/tf/__pycache__/accountant.cpython-35.pyc
MAD-GANs-master/differential_privacy/privacy_accountant/tf/__pycache__/accountant.cpython-36.pyc
MAD-GANs-master/differential_privacy/privacy_accountant/tf/accountant.py
MAD-GANs-master/eugenium_mmd.py
MAD-GANs-master/eval.py
MAD-GANs-master/experiments/
MAD-GANs-master/experiments/parameters/
MAD-GANs-master/experiments/parameters/kdd99_30_0.npy
MAD-GANs-master/experiments/parameters/kdd99_30_1.npy
MAD-GANs-master/experiments/parameters/kdd99_30_10.npy
MAD-GANs-master/experiments/parameters/kdd99_30_11.npy
MAD-GANs-master/experiments/parameters/kdd99_30_12.npy
MAD-GANs-master/experiments/parameters/kdd99_30_13.npy
MAD-GANs-master/experiments/parameters/kdd99_30_14.npy
MAD-GANs-master/experiments/parameters/kdd99_30_15.npy
MAD-GANs-master/experiments/parameters/kdd99_30_16.npy
MAD-GANs-master/experiments/parameters/kdd99_30_17.npy
MAD-GANs-master/experiments/parameters/kdd99_30_18.npy
MAD-GANs-master/experiments/parameters/kdd99_30_19.npy
MAD-GANs-master/experiments/parameters/kdd99_30_2.npy
MAD-GANs-master/experiments/parameters/kdd99_30_20.npy
MAD-GANs-master/experiments/parameters/kdd99_30_21.npy
MAD-GANs-master/experiments/parameters/kdd99_30_22.npy
MAD-GANs-master/experiments/parameters/kdd99_30_3.npy
MAD-GANs-master/experiments/parameters/kdd99_30_4.npy
MAD-GANs-master/experiments/parameters/kdd99_30_5.npy
MAD-GANs-master/experiments/parameters/kdd99_30_6.npy
MAD-GANs-master/experiments/parameters/kdd99_30_7.npy
MAD-GANs-master/experiments/parameters/kdd99_30_8.npy
MAD-GANs-master/experiments/parameters/kdd99_30_9.npy
MAD-GANs-master/experiments/plots/
MAD-GANs-master/experiments/plots/gs/
MAD-GANs-master/experiments/plots/gs/kdd99_gs_real.npy
MAD-GANs-master/experiments/plots/gs/kdd99_real_epoch0000.png
MAD-GANs-master/experiments/settings/
MAD-GANs-master/experiments/settings/kdd99.txt
MAD-GANs-master/experiments/settings/kdd99_test.txt
MAD-GANs-master/mmd.py
MAD-GANs-master/mod_core_rnn_cell_impl.py
MAD-GANs-master/model.py
MAD-GANs-master/plotting.py
MAD-GANs-master/tf_ops.py
MAD-GANs-master/utils.py

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