High-performance TensorFlow library for quantitative finance.

POT : Python Optimal Transport

Python library for arbitrary-precision floating-point arithmetic

Quadratic programming solvers in Python with a unified API

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 don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.

Probabilistic Inference on Noisy Time Series

[JMLR (CCF-A)] PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (including evolutionary algorithms, swarm-based randomized optimizers, pattern search, and random search). [https://jmlr.org/papers/v25/23-0386.html] (Its Planned Extensions: PyCoPop7, PyNoPop7, PyPop77, and PyMePop7)

Python interface for OSQP

Python library for parallel multiobjective simulation optimization

Python-based Derivative-Free Optimization with Bound Constraints

Implementation of various optimization methods

Python-based Derivative-Free Optimizer for Least-Squares

PyGRANSO: A PyTorch-enabled port of GRANSO with auto-differentiation

Python implementation of some numerical (optimization) methods

Python trust-region subproblem solvers for nonlinear optimization

DFO-GN: Derivative-Free Optimization using Gauss-Newton

Linear programming solvers in Python with a unified API

a differentiable package for state representation and identification of multibody dynamics

Intelligent and cost-effective bidding on cloud computing instances for bioinformatics pipelines.

Implementing several variants of the Butterfly Optimization Algorithm to solve global optimization problems