Torchquad

Changelog
Major

Huge improvements to documentation
Added VEGAS Enhanced

Minor

Added Boole's rule
Migrated examples to docs
Updated requirements
Added option to set precision (float or double)
Improved comments
Added 10D unit test

- Fixes to workflows
- Improved README
- Fixes in requirements.txt
- Fixes in setup.py
- More verbose errors when calling integrators with incompatible inputs
- Simpson's & Boole's Rule now automatically pick compatible numbers of points and will warn
- Small improvements to unit tests

First version of torchquad.

The first version of torchquad enables n-dimensional integrations using torch / CUDA utilizing several Newton-Cotes formulas or a simple Monte Carlo Integration. This should already enable huge speedups compared to CPU-only libraries. Also it should be differentiable using torch. Please feel free to test it and get back to us to help us improve it!