victoeywilly

pyet

:sunflower: pyet is a Python package to estimate reference and potential evaporation.

PyPOTS

A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811

tsl

tsl: a PyTorch library for processing spatiotemporal data.

SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.0851

watershed-workflow

Python workflows for data-rich, hyper-resolution simulations of hydrologic models on watersheds.

ats

Advanced Terrestrial Simulator (ATS) development

Vinh_2023

Vinh_2023

ats-short-course

Files for Amanzi Workshop.

pysheds

:earth_americas: Simple and fast watershed delineation in python.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

Convolutional_stream

Convolutional neural network to detect stream line

mimic-code

MIMIC Code Repository: Code shared by the research community for the MIMIC-III database

Benchmarking_DL_MIMICIII

Pytorch-VAE-tutorial

A simple tutorial of Variational AutoEncoders with Pytorch

ST-GRAT

The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

DA-RNN-in-Tensorflow-2-and-PyTorch

A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)

RainyDay2

RainyDay Rainfall Hazard Analysis System

victoeywilly.github.io

:iphone: App marketing template for Jekyll

STGAT

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

VRNN_GRU-U

RSPARROW

A system of R scripts and functions for executing and evaluating SPARROW surface water-quality models that generates graphical, map, and tabular output.

NPEET

Non-parametric Entropy Estimation Toolbox

GRU-D-2

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

Pytorch-RETAIN

A pytorch implementation of RETAIN, which is an interpretable predictive model for healthcare applications

BRITS-1

GRU-D

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

GRU-D-1

inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver

BRITS

Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series