Merge branch 'master' of https://github.com/mfinzi/equivariant-MLP

README.md

@@ -8,8 +8,6 @@
 
 *EMLP* is a jax library for the automated construction of equivariant layers in deep learning. You can read the documentation [here](https://emlp.readthedocs.io/en/latest/).
 
-*WARNING*: Our library (and paper) have not yet been released, and may have sharp edges, bugs, and may be subject to breaking changes. 
-Use at your own caution. But if you notice things behaving unexpectedly or get frustrated, send me an email so I can make the library better.
 
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@@ -25,7 +23,7 @@ from emlp.reps import V,T
 from emlp.groups import *
 
 G = O13()
-Q = (T(1,0)>>T(1,2))(G).equivariant_basis()
+Q = (T(1,0)>>T(2,1))(G).equivariant_basis()
 ```
 
 or how about equivariant maps from one Rubik's cube to another?