Disable Joblib parallelism in Dictionary Learning
Disable Joblib parallelism in Dictionary Learning

Based on some rough profiling, it appears that scikit-learn's dictionary
learning implementation does a really good job maxing out parallelism
over cores by just relying on the underlying BLAS implementation. Other
attempts to parallelizing this either through Joblib or Dask Distributed
pale in comparison. As such, this disables parallelism at the Python
level in favor of parallelism at the C level.

nanshe-org/nanshe_workflow,DudLab/nanshe_workflow