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optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you…
The tsutils package for R provides functions to support various aspects of time series and forecasting modelling.
Skore lets you "Own Your Data Science." It provides a user-friendly interface to track and visualize your modeling results, and perform evaluation of your machine learning models with scikit-learn.
Python bindings of approximate random variables
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
An open-source Python library for poker game simulations, hand evaluations, and statistical analysis
The book every data scientist needs on their desk.
A python implementation of KMeans clustering with minimum cluster size constraint (Bradley et al., 2000)
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
nannyml: post-deployment data science in python
A benchmark suite for liner shipping network design problems and a parser for the instances in c++
Describing statistical models in Python using symbolic formulas
Python-MIP: collection of Python tools for the modeling and solution of Mixed-Integer Linear programs
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)