v1.0.0 Jax Privacy Release

First official release of Jax Privacy.

Jax Privacy library now includes:

• Full support for DP-SGD training with Jax, Flax Linen and Keras
• E2E examples and Jupyter notebooks showing how to use the library
• Algorithms for DP-FTRL
• DP accounting for ML (e.g. calculating stddev of noise given eps, delta and other training parameters)

Experimental folder contains features that will be part of the next release:

• Refactoring of the API making it more streamlined and easier to use
• Poisson sampling

Full Changelog: v0.2...v1.0.0