文件名称：MachineLearningUtils:机器和深度学习的代码片段和实用程序
文件大小：5.02MB
文件格式：ZIP
更新时间：2024-04-18 20:42:15
machine-learning time-series pix2pix-tensorflow JupyterNotebook
机器学习实用程序 机器和深度学习的代码片段和实用程序
【文件预览】：
MachineLearningUtils-main
----Pix2Pix()
--------Pix2PixGANpredict.ipynb(248KB)
--------Pix2PixGAN.ipynb(483KB)
----LICENSE(1KB)
----README.md(72B)
----BinaryImageClassificationCNN()
--------DogsVsCatsPredictImage.ipynb(3KB)
--------DogsVsCatsPredictionDropout.ipynb(493KB)
--------DogsVsCatsPredictionImageAugmentation.ipynb(502KB)
--------DogsVsCatsPredictionThreeBlockVGG.ipynb(488KB)
--------DogsVsCatsPredictionTwoBlockVGG.ipynb(491KB)
--------DogsVsCatsPredictionFinalDataset.ipynb(480KB)
--------DogsVsCatsPredictionSaveDataset.ipynb(485KB)
--------DogsVsCatsPredictionImageGen.ipynb(494KB)
--------DogsVsCatsPredictionTransferLearning.ipynb(489KB)
--------DogsVsCatsPrediction.ipynb(914KB)
----RobustRegression()
--------OutlierDetectionAndRemovalIsolationForest.ipynb(6KB)
--------OutlierDetectionAndRemovalOneClassSVM.ipynb(6KB)
--------HuberRegression.ipynb(21KB)
--------OutlierDetectionAndRemovalMinimumCovarianceDeterminant.ipynb(6KB)
--------CompareRegressions.ipynb(45KB)
--------RansacRegression.ipynb(21KB)
--------LinearRegression.ipynb(20KB)
--------RobustRegressionGenerateData.ipynb(11KB)
--------OutlierDetectionAndRemovalDataset.ipynb(4KB)
--------TheilSenRegression.ipynb(21KB)
--------OutlierDetectionAndRemovalLocalOutlierFactor.ipynb(6KB)
----Dockerfiles()
--------Python3()
--------MatplotlibPython3()
--------Python2()
----QuantileRegression()
--------QuantileRegression .ipynb(150KB)
----TimeSeries()
--------UnivariateMultistepCNNexample.ipynb(216KB)
--------XGBoostForecastModel.ipynb(33KB)
--------MultivariateLSTMForecastModelMultipleLag.ipynb(85KB)
--------UnivariateMultistepEncoderDecoderLSTMexample.ipynb(25KB)
--------MultivariateGRUForecastModelMultipleLag.ipynb(86KB)
--------MultivariateLSTMForecastModel.ipynb(87KB)
--------StackedLSTMForecastModel.ipynb(24KB)
--------UnivariateMultistepStackedLSTMexample.ipynb(25KB)
--------MultivatiateMultiheadedCNNexample.ipynb(110KB)
--------MultivatiateCNNexample.ipynb(109KB)
--------BidirectionalLSTMForecastModel.ipynb(25KB)
--------MultiVariateMultistepEncoderDecoderLSTMexample.ipynb(36KB)
--------MultivatiateMultiheaded1DCNNexample.ipynb(109KB)
--------Multivatiate1DCNNexample.ipynb(322KB)
--------MultivatiateMultistepCNNexample.ipynb(756KB)
--------ConvLSTMForecastModel.ipynb(25KB)
--------CNN_LSTMForecastModel.ipynb(25KB)
--------MultivatiateMultistep1DCNNexample.ipynb(214KB)
--------MultivariateMultistepStackedLSTMexample.ipynb(25KB)
--------MultivatiateLSTMexample.ipynb(25KB)
--------UnivariateCNNexample.ipynb(108KB)
--------MultivariateGRUForecastModel.ipynb(94KB)
--------VanillaLSTMForecastModel.ipynb(25KB)
--------MultivatiateStackedLSTMexample.ipynb(46KB)
--------MultivatiateOutput1DCNNexample.ipynb(555KB)
----OpenCV()
--------Python()