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Awesome List
Probably the best curated list of data science software in Python.
GitHub stars and default-branch commits for krzjoa/awesome-python-data-science.
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A Python implementation of global optimization with gaussian processes.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Sequential model-based optimization with a `scipy.optimize` interface
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Optax is a gradient processing and optimization library for JAX.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
MLBox is a powerful Automated Machine Learning python library.
A research toolkit for particle swarm optimization in Python
A Free and Open Source Python Library for Multiobjective Optimization
🎯 A comprehensive gradient-free optimization framework written in Python
Module for statistical learning, with a particular emphasis on time-dependent modelling
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Safe Bayesian Optimization
A strongly-typed genetic programming framework for Python