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Q. Longyang's Projects

agu2018 icon agu2018

Do internals of neural networks make sense in the context of hydrology?

analytic_gw_book icon analytic_gw_book

This repository contains the Python code of "Analytical Groundwater Modeling: Theory and Applications Using Python" by Mark Bakker and Vincent Post

bdp-data-docs icon bdp-data-docs

This repository contains documents related to the NOAA Big Data Program.

causal-ml icon causal-ml

Must-read papers and resources related to causal inference and machine (deep) learning

causalml icon causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex icon causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

cloudinfra icon cloudinfra

NextGen In A Box: NextGen Framework National Water Model Community Release

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

echotorch icon echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

flopy icon flopy

A Python package to create, run, and post-process MODFLOW-based models.

hrldas icon hrldas

HRLDAS (High Resolution Land Data Assimilation System)

hydrotools icon hydrotools

Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.

image-entropy icon image-entropy

An ongoing research project on image entropy assessment using machine learning.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

inundation-mapping icon inundation-mapping

Flood inundation mapping and evaluation software configured to work with U.S. National Water Model.

jupyter-book icon jupyter-book

Create beautiful, publication-quality books and documents from computational content.

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