Stars
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Python package for easy access to weather and climate data
A container for dataclasses with multi-indexing and bulk operations.
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Guitar plugin made with JUCE that uses neural networks to emulate a tube amplifier.
Synthetic Minority Over-Sampling Technique for Regression
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
For when people get too hyped up about things
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
18.S096 - Applications of Scientific Machine Learning
Statistical Rethinking course and book package
Bayesian Data Analysis course at Aalto
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
HiPlot makes understanding high dimensional data easy
A Python toolbox for performing gradient-free optimization
Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm
🔏 Opinionated, typographic-centric ggplot2 themes and theme components
A scikit-learn compatible neural network library that wraps PyTorch
🌎 Simple and fast watershed delineation in python.