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Tensorflow Requirements For RTX 2070

This project provides a curated list of Python dependencies optimized for compatibility and performance on systems equipped with RTX 2070 GPUs, primarily targeted for Tensorflow projects.

Overview

The repository includes a requirements.txt file containing essential Python packages and their versions tailored specifically for RTX 2070 GPUs. These dependencies are carefully selected to ensure seamless integration and optimal performance with Tensorflow-based projects.

Usage

To use the provided requirements file:

  1. Install the requirements using pip:

    pip install -r requirements.txt

Dependencies

The requirements.txt file includes the following important dependencies along with their versions:

  • Tensorflow (2.3.0)
  • Tensorflow-GPU (2.3.0)
  • NumPy (1.18.5)
  • SciPy (1.4.1)
  • scikit-learn (1.2.2)
  • matplotlib (3.5.3)
  • pandas (1.4.4)
  • opencv-python (4.9.0.80)
  • requests (2.31.0)
  • Keras-Preprocessing (1.1.2)
  • keras-tuner (1.3.3)

Ensure that your Python environment meets these dependencies for smooth execution of Tensorflow projects on RTX 2070 GPUs.

And ensure that you must install the corresponding version of CUDA and cuDNN for Tensorflow to work properly.

License

This project is licensed under the MIT License, allowing modification, distribution, and use of the code for both commercial and non-commercial purposes.

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