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NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
NewAge-JGrass repository
Natural Gradient Boosting for Probabilistic Prediction
Automated time series processing and forecasting.
Python implementation of the conformal prediction framework.
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
NeXus input/output capability for xarray
Links and slides from the OpenGeoHub summer school 2023
Official repository of the OpenGeoSys THM/C simulator
Data and code for the paper "Coherent streamflow variability in Monsoon Asia over the past eight centuries---links to oceanic drivers"
Jupyter notebook and datasets from the pandas Q&A video series
R package for varying parameters in simulations or other iterative processes
:spaghetti: Pastas is an open-source Python framework for the analysis of groundwater time series.
:spaghetti: :convenience_store: Tools for managing timeseries and Pastas models
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
PCR-GLOBWB (PCRaster Global Water Balance) is a large-scale hydrological model intended for global to regional studies and developed at the Department of Physical Geography, Utrecht University (Netherlands). Contact: Edwin Sutanudjaja ([email protected]).
Config files for my GitHub profile.
Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
physics-guided neural networks (phygnn)
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Codes for paper "Flexible Neural Representation for Physics Prediction".
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
A python utility library for interacting with NASA JPL's PO.DAAC
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Probabilistic predictions Webapp + R package
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.