├── .gitignore ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts.ipynb ├── benchmark-deep-learning-models-for-multivariate-time-series.ipynb └── images ├── arima.png ├── deepar.png ├── mean.png ├── prophet.png └── seasonal.png /.gitignore: -------------------------------------------------------------------------------- 1 | .ipynb_checkpoints 2 | -------------------------------------------------------------------------------- /CODE_OF_CONDUCT.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/CODE_OF_CONDUCT.md -------------------------------------------------------------------------------- /CONTRIBUTING.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/CONTRIBUTING.md -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/LICENSE -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/README.md -------------------------------------------------------------------------------- /amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts.ipynb -------------------------------------------------------------------------------- /benchmark-deep-learning-models-for-multivariate-time-series.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/benchmark-deep-learning-models-for-multivariate-time-series.ipynb -------------------------------------------------------------------------------- /images/arima.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/images/arima.png -------------------------------------------------------------------------------- /images/deepar.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/images/deepar.png -------------------------------------------------------------------------------- /images/mean.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/images/mean.png -------------------------------------------------------------------------------- /images/prophet.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/images/prophet.png -------------------------------------------------------------------------------- /images/seasonal.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aws-samples/amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts/HEAD/images/seasonal.png --------------------------------------------------------------------------------