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environment.yml
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name: NeuroPy
channels:
- conda-forge
dependencies:
- python=3.9
- numpy=1.20.2
- scipy=1.6.2
- matplotlib
- pandas
- joblib
- scikit-learn
- hmmlearn
- ipywidgets
- seaborn
- h5py
- opencv
- pytables
- tqdm
- xarray=0.16.2
- zarr
- scikit-image
- notebook
# May need to install pingouin via pip after the fact
- pingouin
# May need to install libgcc for linux distributions
- libgcc
# These modules are for importing DeepLabCut data, comment out if you don't need.
# - easydict
# - ruamel.yaml
# - cupy # uncomment this if you want to run correlograms with a GPU using the ccg_gpu.py module.
# Works well in RedHat8. Note you may have to comment out the following lines and then install manually "pip install scikit-posthocs" in
Windows.
# - pip:
# - scikit-posthocs