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

Evolving simple organisms using a genetic algorithm and deep learning from scratch with python

Graph Optimiser for Learning and Evolution of Models

Meta-black-box Optimization Platform

Implementation of NSGA-II in Python

A Fortran 95 code for Particle Swarm Optimization. The code is general. The fitness function is defined in a separate file and can be replaced by any user defined fitness function.

[NeurIPS 2024] Official impl. of "Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability". An automated screening pipeline leveraging hybridization of generative AI and evolutionary optimization for pharmaceutical co-crystal design.

Optimization using Evolutionary Operators

Evolutionary hyperparameter optimization tool for neural networks built with Tensorflow.

A PyTorch package for Truncated Variational Optimization.

Misc Projects

Implementation of Imperialist Competitive Algorithm

🚀 Benchmark GPU and CPU performance accurately with our suite for PyTorch-2 and TensorFlow-2, optimizing model execution across diverse hardware.