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NoiseGen

NoiseGen is a library for efficient noise generation using PyTorch. It provides a GPU-accelerated noise generation engine.
It is designed for real-time and high-performance applications.

Introduction

NoiseGen is designed for:

  • Easy operation and integration for ML.
  • Parallel computing engine thanks to GPU-accelerated matrix multiplications.
  • Easy visualization with matplotlib.

Supported Noise Types:

  • Perlin Noise
  • Fractal Noise
  • White Noise
  • Simplex Noise

License

This repository is licensed under the GNU General Public License v3.0 (GPL-3.0).

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GPU-accelerated noise engine featuring various noise methods such as Perlin, Simplex and White Noise. Designed for easy integration into ML/DL projects.

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