ecomodeller's Stars
ecmwf/notebook-examples
Example notebooks showing how to work with ECMWF services and data
hakimel/reveal.js
The HTML Presentation Framework
microsoft/WSL
Issues found on WSL
RoyalHaskoningDHV/sam
Python package for time series analysis and machine learning
Textualize/rich-cli
Rich-cli is a command line toolbox for fancy output in the terminal
BoyuanChen/neural-state-variables
null-jones/streamlit-plotly-events
Streamlit component that allows Plotly events to bubble back up to streamlit. Makes Plotly charts interactive!
SciML/NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
psf/black
The uncompromising Python code formatter
DHI/getting-started-with-mikeio
Course material for: Getting started with dfs files in Python using MIKE IO
SciML/Surrogates.jl
Surrogate modeling and optimization for scientific machine learning (SciML)
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
marceloprates/prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
JuliaDynamics/DynamicalSystems.jl
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
JuliaGaussianProcesses/KernelFunctions.jl
Julia package for kernel functions for machine learning
mossr/BeautifulAlgorithms.jl
Concise and beautiful algorithms written in Julia
pymc-devs/pymc-resources
PyMC educational resources
StatisticalRethinkingJulia/TuringModels.jl
Implementations of the models from the Statistical Rethinking book with Turing.jl
ecmwf/ecmwf-opendata
A package to download ECMWF open data
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
mitmath/julia-mit
Tutorials and information on the Julia language for MIT numerical-computation courses.
FluxML/model-zoo
Please do not feed the models
arkadaw9/PGNN
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
DHI/mikeio
Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.
JuliaStats/KernelDensity.jl
Kernel density estimators for Julia
microsoft/anomalydetector
SR-CNN
sieste/SpecsVerification
SpecsVerification - R functions for forecast verification