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In the new version (0.51.2) from nnetsauce (for Python, but also for R), available on PyPI and for conda, I removed jax and jaxlib (for GPU) from the standard version, because jaxlib is heavy.
It means that if you run GPUs with nnetsauce (as in https://www.researchgate.net/publication/382589729_Probabilistic_Forecasting_with_nnetsauce_using_Density_Estimation_Bayesian_inference_Conformal_prediction_and_Vine_copulas), you might want to install jax explicitly:
pip install nnetsauce[jax]
or
uv pip install nnetsauce[jax]
or
conda install -c conda-forge nnetsauce jax jaxlib
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