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Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
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 This is being superseded by work done at https://codeberg.org/perseas/perseid.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