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3d-sr-micrometeorology

This repository contains the source code used in Super-Resolution of Three-Dimensional Temperature and Velocity for Building-Resolving Urban Micrometeorology Using Physics-Guided Convolutional Neural Networks with Image Inpainting Techniques.

4d-srda_sr-mixup

This repository contains the source code used in "Spatio-Temporal Super-Resolution Data Assimilation (SRDA) Utilizing Deep Neural Networks with Domain Generalization Technique Toward Four-Dimensional SRDA."

documents

equivariant-sr-2d-fluid

kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

metpy

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

normalizing-flows

Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9

rl-bsmodel-with-costs

Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy gradient.

sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

srda-cvae

two-stage-sr-micrometeorology