Differentiable Floating-point Operations

The DFO crate aims at making your already existing code differentiable, leveraging automatic differentiation.

Currently, my goal is to implement the Float trait on DFloat for forward autodiff.

TODOs:

• Remove Copy trait when possible, especially for arrays
• Make examples in docstring
• Improve docs
• Clean README
• Benchmark against autodiffs
• Create features for primitive, forward and backward
• Add more needed impl. for Differentiable trait: to and from tuple
• Create tests and benchmarks
• Implement other traits, until Float is implemented
• Reorganize and clean crate
• Create some GitHub actions
• Create examples for multiple inputs, multiple outputs, ndarrays, and more
• Go for backward autodiff

Similar crates:

• <https://github.com/elrnv/autodiff>