Aestream

This release features device-agnostic discovery, which removes the need for USB hardware addresses in the Python interface. Devices can now directly be opened by `USBInput((X,Y))` instead of `USBInput(hw_bus, hw_address, (X, Y))`.

Additionally, CUDA code was added to accelerate GPU-related code while fixing a memory-related bug in recent versions of CUDA/PyTorch.

Finally, we added smaller fixes related to Prophesee cameras, GitHub workflows, and documentation.

This release adds support to dump `.aedat4` files from any input source as well as a number of smaller bugfixes.

Behind the scenes, we have also added continuous integration testing and wheel building, which should make Python installations of aestream via pip much faster.

What's Changed
* Added install target by Jegp in https://github.com/norse/aestream/pull/18
* Feature aedat output by Jegp in https://github.com/norse/aestream/pull/19
* Feature cpp improvements by Jegp in https://github.com/norse/aestream/pull/30
* Feature manylinux by Jegp in https://github.com/norse/aestream/pull/31
* Feature cpp nix by Jegp in https://github.com/norse/aestream/pull/34

**Full Changelog**: https://github.com/norse/aestream/compare/v0.1.0...v0.2.0

First public release of aestream with both C++ and Python interfaces.

This release introduces support for

* Python: USB (Inivation cameras) and UDP (network via the [SPIF protocol](https://github.com/SpiNNakerManchester/spif)) inputs
* C++:
* Inputs: USB (Inivation and Prophesee cameras), files (`.aedat` and `.aedat4`)
* Outputs: Stdout and UDP (network via the [SPIF protocol](https://github.com/SpiNNakerManchester/spif))