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ppdebreuck
MODNet: a framework for machine learning materials properties
Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.3.2 to 1.5.0. Release notes Sourced from scikit-learn's releases. Scikit-learn 1.5.0 We're happy to announce the 1.5.0 release. You can read the release highlights under https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html and...
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Bumps [pymatgen](https://github.com/materialsproject/pymatgen) from 2024.3.1 to 2024.5.31. Release notes Sourced from pymatgen's releases. v2024.5.31 What's Changed 🐛 Bug Fixes Make Beautifulsoup optional by @ab5424 in materialsproject/pymatgen#3774 Fix overlayed subplots in BSPlotterProjected.get_projected_plots_dots()...
Hi @ml-evs , @ppdebreuck , I have been trying to use Modnet with GPU. But cannot get it to work. I had to use a different tensorflow version than pinned...
Hi, thanks for the nice package! I have a remark about the `EnsembleMODNetModel` class: the `predict` method always corresponds to the mean of the predictions of the ensemble: https://github.com/ppdebreuck/modnet/blob/e14188d3b8a036bba0a1d9c0a3f538dc58c3cd29/modnet/models/ensemble.py#L178 However,...
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MODNet: a framework for machine learning materials properties