Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
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Distributed Evolutionary Algorithms in Python
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
Generation of protein sequences and evolutionary alignments via discrete diffusion models
A Free and Open Source Python Library for Multiobjective Optimization
🎯 A comprehensive gradient-free optimization framework written in Python
A framework for continual learning and recursive self-improvement through harness adapter evolution.
Provides utilities for Postgres database schema versioning. This is being superseded by work done at https://codeberg.org/perseas/perseid.
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Official repository for the paper “RSIPO: Recursive Self-Improving Policy Optimization for Agentic Reinforcement Learning via Skill-Policy Co-Evolution”
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.
Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation
CEKit - Container Evolution Kit
Code evolution analysis for Git repositories