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Gaussian Processes can be used as an optimization algorithm that is very robust and fast. However it is complex to implement. There is already a package for doing Gaussian Processes with PyTorch, so it would require interfacing with that to optimize model parameters. Here is a link to the package: https://gpytorch.ai/ |
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okay I'll be checking it out! |
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Can u give me some suggestions in making some code/approaches/ideas
which will help me make some contributions towards it?
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