DataPredict™ Zero - Auto-Balance Your Game Stats & Create Adaptive AI (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing)

Other Products

Product Description
DataPredict General Purpose Machine Learning, Deep Learning And Reinforcement Learning Library (Scikit-Learn-Like API + Business-Grade + For Revenue And Retention Optimization)
DataPredict Neural Object-Based Deep Learning Library (TensorFlow-Like API)
DataPredict Axon Functional-Based Deep Learning Library (PyTorch-Like API)
DataPredict Forest Tree-Based Machine Learning Library
DataPredict Nucleus Remote DataPredict ML Model Control Dashboard Website
DataPredict Agent Large Language Models (LLMs) Management System

Please like this post to support future updates!

Usage Preview

Example Learning AI Code

Overview

Derivative-Free Optimization
Library

Documentation And Tutorials

DataPredict Online Website

Tutorials Will Be Released Next Week

Download Links

ModuleScripts For This Library:

Are the current optimization algorithms enough for your use cases?
  • Yes, these cover everything I need.
  • No, I need more specific algorithms.
  • I’m not sure what these algorithms do yet.
  • I prefer manual tuning over automation.
0 voters
Which additional optimization algorithm would be most useful for your project?
  • Nothing else needed (GA/PSO/SA/DE are perfect)
  • CMA-ES (Covariance Matrix Adaptation)
  • Particle Swarm with constraints / Multi-objective
  • Other (Please comment below)
0 voters
What is your use case(s) for DataPredict™ Zero?
  • Balancing game stats (weapons, enemies, economy)
  • Creating adaptive AI (NPCs that learn)
  • Procedural generation (levels, maps)
  • Physics tuning (vehicle suspension, ragdolls)
  • Learning
0 voters
5 Likes

Welp. I added a demo code for the sword-fighting AIs that uses the genetic algorithm.

Feel free to check it out on the main post!