Neuroevolution
Showing 12 of 12 projects
A scalable, hardware-accelerated neuroevolution toolkit built on JAX for parallel training across TPUs/GPUs.
A comprehensive, high-performance library implementing 30+ Evolution Strategies in JAX for scalable optimization on modern hardware.
A pure-Java/C# machine learning framework for neural networks, genetic programming, and classic ML algorithms with simple adaptable source code.
A hardware-accelerated Python library for running Quality-Diversity and neuroevolution algorithms in minutes instead of days.
A fast and flexible Rust library for implementing genetic algorithms, neuroevolution, and genetic programming.
A neuroevolution-based trading bot that evolves populations of neural networks to trade cryptocurrency using technical analysis.
A compact spiking neural network library built on JAX and Haiku, offering high-performance training via surrogate gradient descent and neuroevolution.
A collection of neuroevolution experiments for reinforcement learning control problems using unsupervised learning feature extractors.
An Elixir framework for evolutive neural networks with a modular DSL and OTP-based architecture.
A Go implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm for evolving neural network structures.
A comprehensive Ruby gem providing atomic, flexible tools and frameworks for practical machine learning applications.
A comprehensive Ruby gem providing a collection of atomic machine learning tools and frameworks for practical applications.
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