adept
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Automatic-Differentiation-Enabled Plasma Transport in JAX
Adds a lot of Lagrangian Rad Hydro code for a 1D radial geometry
- `utils` was moved to `adept/` - tests were not updated and are [failing](https://github.com/ergodicio/adept/actions/runs/10086093499)
Hi! I think a nice upgrade would be having the configuration yaml file sorted, so it easy to compare different experiments
I'm only just trying to understand these now, so not sure how to check this is correct. Feel free to edit/suggest changes. My main aim here is to iteratively build...
ErgoExo now takes `args` as an additional argument to `__call__` and `value_and_grad`, enabling another way to "train" opposed to `modules`. Abstracted `__call__` by adding `_mlflow_func` abstraction which could work for...
This PR did the following: - Added a script for optimizing the growth of the two-stream instability as measured by the average `e2` from the 10th to 200th timestep. Measuring...
Seems to be a result of #128: ``` =========================== short test summary info ============================ FAILED tests/test_lpse2d/test_epw_frequency.py::test_epw_frequency[_imaginary_part_] - AssertionError: Not equal to tolerance rtol=0.35, atol=0 Mismatched elements: 1 / 1 (100%)...