Voltron-robotics

**Full Changelog**: https://github.com/siddk/voltron-robotics/compare/v1.0.0...v1.1.0

Completes the preprocessing -> pretraining -> model usage pipeline, by adding the full reference scripts for preprocessing the entire Sth-Sth-v2 dataset (for pretraining MVP, R3M, and Voltron models), as well as the PyTorch XLA pretraining script (again, for all models).

A "standard" PyTorch GPU/DDP pretraining implementation is in the works, but hopefully the logic transfers!

What's Changed
* Add Preprocessing Pipeline for Sth-Sth-v2 by siddk in https://github.com/siddk/voltron-robotics/pull/8
* Add XLA Pretraining Script by siddk in https://github.com/siddk/voltron-robotics/pull/10

**Full Changelog**: https://github.com/siddk/voltron-robotics/compare/v0.0.1...v1.0.0

Initial Voltron model release (marking as 0.0.1 because I don't know how to SemVer / wait until full pretraining reference exists). Contains pretrained checkpoints, automatic load functionality for:

- V-Cond (ViT-Small) on Sth-Sth-v2
- V-Dual (ViT-Small) on Sth-Sth-v2
- V-Gen (ViT-Small) on Sth-Sth-v2
- V-Cond (ViT-Base) on Sth-Sth-v2

As well as for our "data-locked" reproductions:

- R3M (ViT-Small) on Sth-Sth-v2
- R3M (ResNet-50) on Sth-Sth-v2
- MVP (ViT-Small) on Sth-Sth-v2

This accompanies the initial release of the [Voltron Evaluation Suite](https://github.com/siddk/voltron-evaluation) – complete with usage examples!