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* be flexible with respect to numeric types and application
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* be fully compatible with [ChainRules.jl](https://github.com/juliadiff/ChainRules.jl) automatic differentiation (AD) system to leverage the derived analytical gradients
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* provide a codebase that is well-organized, instructive, and easy to extend
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* maintain high performance: at least as fast as similar tools
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