Category: PyTorch
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Why You Should Always Visual A Batch From Your Data Loader
Here is one thing that every engineer working with AI hears at some point: Garbage In, Garbage Out However, despite that, something that I still see often enough in the Computer Vision industry and no doubt affects other machine learning disciplines as well is a complete lack of checking what is coming out of the…
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Einops: Making Life Bit Easier (Mostly)
When working in PyTorch, you are often faced with the need to manipulate tensors of multiple dimensions into various shapes or maybe combine dimensions together. There’s a wealth of functions specifically for that too. To name a few, view, permutate, stack, tile, and concat are some of the most common ones, but the list goes…
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