Popular GitHub Repositories for Population Genetics

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

A parallel framework for population-based multi-agent reinforcement learning.

large population models

Building a population of models that trade crypto and mutate iteratively

EvoRL is a fully GPU-accelerated framework for Evolutionary Reinforcement Learning, implemented with JAX. It supports Reinforcement Learning (RL), Evolutionary Computation (EC), Evolution-guided Reinforcement Learning (ERL), AutoRL, and seamless integration with GPU-optimized simulation environments.

Pure Python Library for ES-HyperNEAT. Contains implementations of HyperNEAT and ES-HyperNEAT.

The MacGraph network. An attempt to get MACnets running on graph knowledge

Framework for Interpretable Neural Networks

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

DRL with population coded spiking neural network for optimal and energy-efficient continuous control.

feature-based deep learning for the identification of selective sweeps

Vectorization techniques for fast population-based training.

Clustering with variational Bayes and population Monte Carlo

Genetic learning algorithm implementation for simulations, games, or general machine learning problems

Code from the paper "Effective Diversity in Population Based Reinforcement Learning", presented as a spotlight at NeurIPS 2020. This is the Evolution Strategies implementation, but of course the method can be used for gradient based RL algorithms (e.g. TD3).

[SIGIR 2023] Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction

Mandrake ?/???? – Fast visualisation of the population structure of pathogens using Stochastic Cluster Embedding

Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.

GenoML (genoml2) is an open source Python package. It is an automated machine learning (autoML) platform for genomics data

ML Approaches for RUL Prediction, Anomaly Detection, Survival Analysis and Failure Classification