Torch-harmonics

- Discrete-continuous (DISCO) convolutions on the sphere and in two dimensions
- DISCO supports isotropic and anisotropic kernel functions parameterized as hat functions
- Supports regular and transpose convolutions
- Experimental accelerated spherical DISCO convolutions on GPU via Triton Kernel
- Unittests for DISCO convolutions in tests/test_convolution.py

- reworking distributed to allow for uneven split tensors, effectively removing the necessity of padding the transformed tensors
- distributed SHT tests are now using unittest. Test extended to vector SHT versions. Tests are defined in torch_harmonics/distributed/distributed_tests.py
- base pytorch container version bumped up to 23.11 in Dockerfile

- Updated SFNO example
- Fixes NCCL issues with distributed SHT
- other bugixes

- Adding github CI
- Changed SHT modules to convert `dtype` dynamically when computing the SHT/ISHT
- Bugfixes to fix importing examples

* Minor bugfixes to export SFNO code
* Readme should now render correctly in PyPI

* Added SFNO example
* Added Shallow Water Equations Dataset for SFNO training
* Cleanup of the repository and added PyPI
* Updated Readme