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Did you know you can classify MNIST using gzip? 
You can get 45% accuracy on binarized MNIST using class-wise compression and counting bits 
No @PyTorch or @TensorFlow needed
BASH script and @scikit_learn classifier 
https://github.com/BlackHC/mnist_by_zip …
I was recently wondering about sth similar: you can probably just count the number of pixels (i.e., just do a sum over the pixel values) to classify MNIST images with ~50% accuracy, which isn't too bad.
Actually, we have tried that 
You only get 20% accuracy. Zip compression indeed performs significantly better.
If you scroll down in the Jupyter Notebook, you can see results for summing on both binarized MNIST and vanilla MNIST.
https://github.com/BlackHC/mnist_by_zip/blob/master/MNIST_by_zip.ipynb …
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