Popular GitHub Repositories for Evolutionary Strategy

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

? Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

A research tool for the Iterated Prisoner's Dilemma

Distributed High-Performance Symbolic Regression in Julia

Automated modeling and machine learning framework FEDOT

Generation of protein sequences and evolutionary alignments via discrete diffusion models

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.