```md ## Installation We recommend using Conda to create a fresh environment in which to run GRaTer-JAX, to ensure all dependencies are met: ```bash conda env create -f environment.yml conda activate grater-jax-env # or your env name pip install -e . ``` To install GRaTeR-JAX and its dependencies, create a new Conda environment with Python and run: ```pip install grater-jax``` Make sure you have JAX installed with the correct backend for your hardware: ```pip install --upgrade "jax[cpu]" # or "jax[cuda]" for GPU``` NOTE: For Millar-Blanchaer Lab developers -- you need to install with Jax 0.4.34 and Cuda 12.2 if using Mueller. ## Compatibility GRaTer-JAX is compatible with Python >=3.9 and <3.13, and any GPU processor supported by JAX (see [the JAX install docs](https://docs.jax.dev/en/latest/installation.html) for a list). A full list of dependencies is available in `pyproject.toml`