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

Implementation of NSGA-II in Python

Meta-black-box Optimization Platform

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.

Implementation of Imperialist Competitive Algorithm

Misc Projects

This application will allow: to Upload your experiment results. Select any of the top-performing architectures from the final population. Run the selected architecture through a series of simulated "real-world" benchmark tasks. View a detailed performance report and a final "AGI Scorecard" for the chosen architecture.

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