A bare-bones Python library for quality diversity optimization.
PyRADE is a production-ready optimization library implementing Differential Evolution (DE), a powerful evolutionary algorithm for global optimization. Unlike traditional implementations that sacrifice code quality for performance, PyRADE proves you can have both through intelligent design.
Python library for CMA Evolution Strategy.
Official implementation of paper "BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement".
[BSc Thesis] PriSM: Prior-Guided Search Methods for Query Efficient Black-Box Adversarial Attacks
GECCO 2025: Toward Efficient Mixed-Integer Black-Box Optimization via Evolution Strategies with Plateau Handling Techniques
🚀 Reinforcement learning from scratch — including value-based and policy-based methods, alongside search-driven approaches from evolutionary strategies like Genetic Algorithms to adaptive techniques like Simulated Annealing, PSO, and CMA-ES
Python codes for Assessment of thermal mode-based kinetic models via stratified cross-validation and TPE optimization
Connecting biologists, medical researchers & molecule nerds — because science is ❤️........
Genetic algorithms and CMA-ES (covariance matrix adaptation evolution strategy) for efficient feature selection
MoRIS (Model of Routes of Invasive Spread). A simulator of human-mediated dispersal via transportation networks.
Code for evolving an LSTM controller for Sparrow Mahjong using CMA-ES
(GECCO2023 Best Paper Nomination & ACM TELO) CMA-ES with Learning Rate Adaptation
Repository on my course Evolutionary Computation, about Genetic Algorithms. This project has the objective of evolving structures and controllers on evogym
Modern PyTorch implementation of World Models with interactive notebooks for the Car Racing environment. Features VAE vision model, MDN-RNN memory system, and CMA-ES controller with visualization tools. Complete end-to-end reinforcement learning pipeline with clean, well-documented code.
High-performance Echo State Network simulation, optimization and visualization in modern C++.
Black Box Optimizers for Complex Systems
Implementation of Farm Surveillance Problem introduced in Optimizing Camera Placement for Chicken Farm Monitoring
A personal Python project using Expectimax and CMA-ES to optimise the 2048 game.
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