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Updated readme to include all links

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Alejandro Saucedo 2020-11-11 08:40:52 +00:00
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examples/python/README.md
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This folder contains the accompanying code for the article "High Performance Python for GPU Accelerated Machine Learning in Cross-Vendor GPUs".
The easiest way to try this example is by using the [Google Binder Notebook](https://colab.research.google.com/drive/15uQ7qMZuOyk8JcXF-3SB2R5yNFW21I4P), which will allow you to use a GPU for free.
The easiest way to try this example is by using the [Google Binder Notebook](https://colab.research.google.com/drive/15uQ7qMZuOyk8JcXF-3SB2R5yNFW21I4P), which will allow you to use a GPU for free and runs without much setup.
<img src="https://raw.githubusercontent.com/EthicalML/vulkan-kompute/python_extensions/docs/images/binder-python.jpg">
Alternatively if you want to test the example yourself you can follow the following links:
Alternatively if you want to test the example yourself locally, you can get setup and started through the following links:
1. Install the [Kompute Python Package](https://kompute.cc/overview/python-package.html)
2. Run the [Array Multiplication Code]()
3. Run the [Logistic Regression Code]()
1. Install the [Kompute Python Package](https://kompute.cc/overview/python-package.html#package-installation)
2. Run the [Array Multiplication Code](https://github.com/EthicalML/vulkan-kompute/blob/python_extensions/python/test/test_array_multiplication.py)
3. Run the [Logistic Regression Code](https://github.com/EthicalML/vulkan-kompute/blob/python_extensions/python/test/test_logistic_regression.py)