
PyTorch Lightning
The light PyTorch wrapper for high-performance AI research
PyTorch Lightning launched on October 13, 2020 with 79 votes, #612 of 4,053 launches that month.
What it does
The lightweight PyTorch wrapper for high-performance AI research. Scale models, not boilerplate. Lightning is one of the most popular deep learning frameworks. Unlike Keras it gives full flexibility. Unlike PyTorch it does not need a ton of boilerplate.
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Hello HN! For the past 6 months I've been working on an open source python library that implements differentiable geometric optics in PyTorch. It's very experimental still, but eventually the goal is to use it to design optical systems with a state of the art optimization framework and a beautiful code based API. Think OpenSCAD, but for optical systems. Not only is PyTorch's autograd an amazing general purpose optimizer, but torch.nn (the neural network building blocks) can be used pretty much out of the box to model an optical system. This is because there is a strong analogy to be made…
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