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## esilpd/0.0.1 ##
for EEG/MEG modeling and analysis
MNE 1.0.3+PyTorch1.11_cuda_11.3+jax 0.3.13 with CUDA11.5 with cudnn 8.3.0
https://mne.tools/stable/index.html

Example:


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More documentation can be found here: link_to_documentation

To run applications outside of this container: ml esilpd/0.0.1

Citation:
```
Alexandre Gramfort, Martin Luessi, Eric Larson, Denis A. Engemann, Daniel Strohmeier, Christian Brodbeck, Roman Goj, Mainak Jas, Teon Brooks, Lauri Parkkonen, and Matti S. Hämäläinen. MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7(267):1–13, 2013. doi:10.3389/fnins.2013.00267.

Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., … Chintala, S. (2019). PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32 (pp. 8024–8035). Curran Associates, Inc. Retrieved from http://papers.neurips.cc/paper/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf
```

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