A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.
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Updated
Apr 11, 2024 - Python
A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.
parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
Tiny Genetic Algorithm in Python
Dissertation for Imperial BEng Maths and CS
Implementation of EDCA-Net published in International Journal of Neural System.
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
A tool for developing reinforcement learning algorithms focused in stock prediction
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.
First assignment for Evolutionary Computing class at @Vrije-Universiteit-Amsterdam
Evolutionary Path Finding.
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---
JADE - Adaptive Differential Evolution
https://www.researchgate.net/publication/350344034_Sequence-based_model_of_cumulative_cultural_evolution Evolutionary Algorithm based on Cumulative Cultural Evolution. Uses a mix of gradient descent - individual learning - and inheritance - copying - that selection acts upon. Serves as sequene-based model of cumulative cultural evolution - Focus…
Particle Swarm Optimization and Evolutionary Strategy
evolutionary-based approach in RBF neural network training
Implementation of RBF nerual network trained using evolutionary strategy for my computational intelligence final project
[WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
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