馃幆 A comprehensive gradient-free optimization framework written in Python
Appears on
Quick read
Latest capture 2026-10-07 03:09
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
9 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture -2
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
All Algorithms implemented in Python
EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.
Sequential model-based optimization with a `scipy.optimize` interface
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
