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Tensorix is a minimalistic and highly compatible Python library designed to facilitate efficient communication with GPUs.

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Tensorix

Tensorix is a minimalistic and highly compatible Python library designed to facilitate efficient communication with GPUs. Whether you're working on machine learning, simulations, or gaming, Tensorix provides a seamless interface for interacting with various GPU hardware.

Features

  • Wide Compatibility: Tensorix works with a wide range of GPU hardware, ensuring you can leverage GPU acceleration regardless of your specific setup.
  • Minimalistic Design: The library is designed to be lightweight and easy to use, focusing on providing essential functionalities without unnecessary complexity.
  • Versatile Applications: Ideal for machine learning, simulations, and gaming, Tensorix aims to improve performance and simplify development across different fields.

Installation

You can install Tensorix using pip:

pip install tensorix

Usage

import tensorix as tx

# Initialize Tensorix
gpu = tx.init()

# Perform some operations
result = gpu.compute(my_data)

print(result)

Coming Soon

I am working actively on Tensorix as it helps me too to run Models into my 8GB VRAM GPU, even for training and running AI Models.

COMING SOON

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