Thomas Wiecki
Thomas Wiecki
I copied the JAX linker code and asked GPT to port the code to pytorch. Haven't tried it but maybe it's a good starting point for someone else.
### Description We're fairly close to having full Numba support, but a few important numba issues are missing. This is an incomplete list that we should complete and then make...
### Description Would be great if we could `pip install pytensor` on pyodide. We can build without the cython extension and it works, however, we should create proper pyodide packages...
%pylab inline overwrites some of the imports
I think for a newcomer it would be really useful to have a much simpler example. E.g. the classic: samples from a mixture of gaussians that's then estimated parametrically and...
> python hierarchial.py > Traceback (most recent call last): > File "hierarchial.py", line 49, in > AddData(model, T.constant(y), Normal( sum(effects[g] \* predictors, 1),s[g]**-2)) > File "/usr/local/lib/python2.7/dist-packages/mcex/core.py", line 33, in AddData...
PyMC v4 has a JAX backend and can use samplers like those from numpyro or blackjax, it should be pretty easy thus to add an example of how to use...
This looks really neat. What do you think of adding this sampler to [pymc3](https://github.com/pymc-devs/pymc3) where it would be directly usable in a probabilistic programming framework? It's pretty easy to add...
Although probably very slow in pure Python the benefit of not using numpy is that the code can potentially be JIT compiled via `numba` or `pypy` to speed things up....
https://www.pymc-marketing.io/en/stable/notebooks/mmm/mmm_lift_test.html