Vprtempo

- Minor fixes to PyPi packaging

- Full integration of VPRTempo into torch.nn architecture
- Quantization Aware Training (QAT) enabled to train weights in int8 space
- Addition of tutorials in Jupyter Notebooks to learn how to use VPRTempo as well as explain the computational logic
- Simplification of weight operations, reducing to a single weight tensor - allowing positive and negative connections to change sign during training
- Easier dependency installation with PyPi/pip
- And more!

VPRTempo code for ICRA 2024 submission.

What's Changed
* V1.0.0 alpha to v1.0.0 full main merge by AdamDHines in https://github.com/QVPR/VPRTempo/pull/5


**Full Changelog**: https://github.com/QVPR/VPRTempo/compare/v0.0.1...v1.0.0

Modular temporally encoded spiking neural network for visual place recognition (VPR).

Release notes

- PyTorch integration completely fixed for Blitnet implementation
- CUDA acceleration validated
- Expert modules trained simultaneously using Torch 3D tensors with batch calculations
- Network accuracy matches pre-modular implementation, network state calculations validated