WIP refactor of lbhb/NEMS and lbhb/nems_db

clone <nems-lite> # using url, ssh, or however you normally clone
conda create -n nems-lite python=3.9  # or use your preferred environment manager
pip install -e nems-lite

Note: mkl library for numpy does not play well with tensorflow. If using conda to install dependencies, use conda-forge for numpy (which uses openblas instead of mkl): conda install -c conda-forge numpy (conda-forge/numpy-feedstock#84)

Coming soon, roughly in order of priority:

• Convert dev_notebooks to unit tests where appropriate (& automatic testing using Travis, like nems0).
• Set up readthedocs.
• Add more Layers from nems0.
• Add core pre-processing and scoring from nems0.
• Try Numba for Layer.evaluate and cost functions.
• Publish through conda install and pip install (and update readme accordingly).
• Convert scripts and dev_notebooks to tutorials where appropriate.
• Other core features (like jackknifed fits, cross-validation, etc.).
• Backwards-compatibility tools for loading nems0 models.
• Implement Jax back-end. ... (other things on the massive issues list)