Graphics Processing Units Molecular Dynamics
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Updated
May 10, 2024 - Cuda
Graphics Processing Units Molecular Dynamics
Evolutionary Computation: A Modern Perspective ---> This is a free online book, which is actively updated now (from 2023 to 2027).
Common machine learning algorithm implementations
XCSF learning classifier system: rule-based online evolutionary machine learning
Competing population model of genetically evolving neural networks
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
GPU-accelerated NeuroEvolution of Augmenting Topologies (NEAT)
Descentralized Optimization Network (DON) is a REST API that allows extending existing evolutionary algorithms to a decentralized architecture to provide collaboration, scalability, event log and fault-tolerance in an optimization process. It also allows external clients to make remote evaluations of data using the most optimized models.
ES-HyperNEAT Python implementation with C++ computations for NeuroEvolution, Reinforcement Learning and VfMRI
GPU-accelerated Evolutionary Multiobjective Optimization Using Tensorized RVEA.
The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
A NeuroEvolution AI for the game Flappy Bird
This project provides GOLang implementation of Neuro-Evolution of Augmenting Topologies (NEAT) with Novelty Search optimization aimed to solve deceptive tasks with strong local optima
AI learns to play flappy bird using neuro-evolution, implemented in Rust using macroquad
EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM
Evolving artificial creatures controlled by neural networks
JAX implementation of NeuroEvolution of Augmenting Topologies (Neat)
The official implementation of ICLR'24 spotlight paper "Sample-Efficient Quality-Diversity by Cooperative Coevolution".
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