[Oryx] Remove Oryx from TFP (since it now lives in github.com/jax-ml/oryx).

PiperOrigin-RevId: 463695637

Author: sharadmv

spinoffs/oryx/README.md

@@ -1,51 +1,3 @@
 # Oryx
 
-Oryx is a library for probabilistic programming and deep learning built on top
-of Jax. The approach is to expose a set of function transformations that compose
-and integrate with JAX's existing transformations (e.g. `jit`, `grad`, and
-`vmap`).
-
-## Installation
-
-You can install Oryx via `pip`:
-
-```bash
-$ pip install oryx
-```
-
-## Documentation and Examples
-
-Documentation is available
-[on the Oryx website](https://www.tensorflow.org/probability/oryx/api_docs/python/oryx).
-
-### Guides
-
-*   [A tour of Oryx](https://www.tensorflow.org/probability/oryx/notebooks/a_tour_of_oryx)
-*   [Probabilistic programming](https://www.tensorflow.org/probability/oryx/notebooks/probabilistic_programming)
-
-## Development
-
-To develop and modify Oryx, you need to install
-[`poetry`](https://python-poetry.org/), a tool for Python packaging and
-dependency management.
-
-To install the development dependencies of Oryx, you can run
-
-```bash
-$ poetry install
-```
-
-and to enter a virtual environment for testing or debugging, you can run:
-
-```bash
-$ poetry shell
-```
-
-### Running tests
-
-Oryx uses [Bazel](https://bazel.build/) for building and testing. Once Bazel is
-installed, you can run tests by executing:
-
-```
-$ poetry run bazel test //oryx/...
-```
+Oryx has moved! Check it out in its [new location](https://github.com/jax-ml/oryx).