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Advanced Terrestrial Simulator (ATS) development
Files for Amanzi Workshop.
Code of NIPS18 Paper: BRITS: Bidirectional Recurrent Imputation for Time Series
Convolutional neural network to detect stream line
A Tensorflow 2 (Keras) implementation of DA-RNN (A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction, arXiv:1704.02971)
GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
inspired by 'Recurrent Neural Networks for Multivariate Time Series with Missing Values' pytorch ver
Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
Non-parametric Entropy Estimation Toolbox
:sunflower: pyet is a Python package to estimate reference and potential evaporation.
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
:earth_americas: Simple and fast watershed delineation in python.
A pytorch implementation of RETAIN, which is an interpretable predictive model for healthcare applications
A Collection of Variational Autoencoders (VAE) in PyTorch.
A simple tutorial of Variational AutoEncoders with Pytorch
RainyDay Rainfall Hazard Analysis System
A system of R scripts and functions for executing and evaluating SPARROW surface water-quality models that generates graphical, map, and tabular output.
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
The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
tsl: a PyTorch library for processing spatiotemporal data.
:iphone: App marketing template for Jekyll
Vinh_2023
Python workflows for data-rich, hyper-resolution simulations of hydrologic models on watersheds.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.