Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
- genetic-algorithm
- pso
- particle-swarm-optimization
- tsp
Statistical Machine Intelligence & Learning Engine
Official git repository for Biopython (originally converted from CVS)
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
simple neural network library in C99
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Genetic Programming in Python, with a scikit-learn inspired API
GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).
🦖 ClawBio - The first bioinformatics-native AI agent skill library. Local-first. Reproducible. Open. Free.
Cloud-native genomic dataframes and batch computing
:christmas_tree:Visualization and annotation of phylogenetic trees
:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
Framework for Making Environmental Keyed Payloads (NO LONGER SUPPORTED)
A Go package for engineering organisms.
- synthetic-biology
- synbio
- genetic-engineering
- molecular-biology
A Free and Open Source Python Library for Multiobjective Optimization
🎯 A comprehensive gradient-free optimization framework written in Python
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Genetic feature selection module for scikit-learn
Genetic Algorithm for solving optimization of trading strategies using Gekko
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.
Golang Genetic Algorithm