Updated requirements.txt files

requirements.txt

@@ -1,11 +1,11 @@
 # generated by tools/generate_requirements_txt.py
-lie_learn @ git+https://github.com/AMLab-Amsterdam/lie_learn
 matplotlib >= 3.6.0
 numpy
 scipy>=1.9.3
 torch
 torchvision
 PyYAML
 cython
-escnn
+lie_learn_escience
+escnn_escience
 h5py

requirements_full.txt

@@ -5,7 +5,7 @@
 #    pip-compile --output-file=requirements_full.txt pyproject.toml
 #
 autograd==1.6.2
-    # via escnn
+    # via escnn-escience
 certifi==2024.2.2
     # via requests
 charset-normalizer==3.3.2
@@ -16,7 +16,7 @@ cycler==0.12.1
     # via matplotlib
 cython==3.0.10
     # via speckcn2 (pyproject.toml)
-escnn==1.0.11
+escnn-escience==1.0.14
     # via speckcn2 (pyproject.toml)
 filelock==3.13.3
     # via
@@ -35,12 +35,12 @@ idna==3.6
 jinja2==3.1.3
     # via torch
 joblib==1.3.2
-    # via escnn
+    # via escnn-escience
 kiwisolver==1.4.5
     # via matplotlib
-lie-learn @ git+https://github.com/AMLab-Amsterdam/lie_learn
+lie-learn-escience==0.0.3
     # via
-    #   escnn
+    #   escnn-escience
     #   speckcn2 (pyproject.toml)
 markupsafe==2.1.5
     # via jinja2
@@ -54,9 +54,9 @@ numpy==1.25.2
     # via
     #   autograd
     #   contourpy
-    #   escnn
+    #   escnn-escience
     #   h5py
-    #   lie-learn
+    #   lie-learn-escience
     #   matplotlib
     #   py3nj
     #   pymanopt
@@ -101,21 +101,21 @@ pillow==10.3.0
     #   matplotlib
     #   torchvision
 py3nj==0.2.1
-    # via escnn
+    # via escnn-escience
 pymanopt==2.2.0
-    # via escnn
+    # via escnn-escience
 pyparsing==3.1.2
     # via matplotlib
 python-dateutil==2.9.0.post0
     # via matplotlib
 pyyaml==6.0.1
     # via speckcn2 (pyproject.toml)
 requests==2.31.0
-    # via lie-learn
+    # via lie-learn-escience
 scipy==1.9.3
     # via
-    #   escnn
-    #   lie-learn
+    #   escnn-escience
+    #   lie-learn-escience
     #   pymanopt
     #   speckcn2 (pyproject.toml)
 six==1.16.0
@@ -124,7 +124,7 @@ sympy==1.12
     # via torch
 torch==2.2.2
     # via
-    #   escnn
+    #   escnn-escience
     #   speckcn2 (pyproject.toml)
     #   torchvision
 torchvision==0.17.2