Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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Updated
Sep 28, 2026 - Python
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
TruthLens is a multimodal browser plugin that detects misleading thumbnails, clickbait titles, and low-trust video patterns, then explains, filters, and helps report suspicious content using probabilistic scoring, user feedback, and adaptive AI.
A PyTorch package for Truncated Variational Optimization.
General-purpose evolutionary optimization framework using LLMs as intelligent mutation operators. Evolve code, prompts, and text with beam search, archives, and swarm strategies.
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.
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