method: RESEPT - env for deps only

method/RESEPT/environment.yml

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+name: RESEPT
+channels:
+  - conda-forge
+  - pytorch
+  - defaults
+dependencies:
+  # Python 3.6+ recommended in RESEPT docs
+  - python=3.8.*
+  - pip=23.*
+  - pytorch==1.5.1
+  - torchvision==0.6.1
+  - pip:
+    - anndata==0.7.6
+    - cityscapesscripts==2.2.0
+    - leidenalg==0.8.7
+    - matplotlib==3.3.4
+    # to make use of GPUs, "cpu" in the URL below should be replaced with one of
+    # "cu92", "cu101" or "cu102", depending on the CUDA version
+    - mmcv-full==1.3.0 -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.5.0/index.html
+    - munkres==1.1.4
+    - networkx==2.5.1
+    - numba==0.53.1
+    - numpy==1.19.2
+    - opencv_contrib_python==4.5.1.48
+    - pandas==1.2.3
+    - pillow==8.3.1
+    - progress==1.6
+    - python_igraph==0.9.6
+    - requests==2.25.1
+    - rpy2==3.1.0
+    - scanpy==1.7.2
+    - scikit_image==0.18.1
+    - scikit-learn==0.24.2
+    - scipy==1.6.2
+    - seaborn==0.11.1
+    - six==1.15.0
+    - statsmodels==0.12.2
+    - terminaltables==3.1.0
+    - tqdm==4.60.0
+    - umap==0.1.1
+    - umap_learn==0.5.1