Dev Update (#582)

* Fix adaptive refinement (#571)


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Co-authored-by: Dario Coscia <93731561+dario-coscia@users.noreply.github.com>

* Remove collector

* Fixes

* Fixes

* rm unnecessary comment

* fix advection (#581)

* Fix tutorial .html link (#580)

* fix problem data collection for v0.1 (#584)

* Message Passing Module (#516)

* add deep tensor network block

* add interaction network block

* add radial field network block

* add schnet block

* add equivariant network block

* fix + tests + doc files

* fix egnn + equivariance/invariance tests

Co-authored-by: Dario Coscia <dariocos99@gmail.com>

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Co-authored-by: giovanni <giovanni.canali98@yahoo.it>
Co-authored-by: AleDinve <giuseppealessio.d@student.unisi.it>

* add type checker (#527)

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Co-authored-by: Filippo Olivo <filippo@filippoolivo.com>
Co-authored-by: Giovanni Canali <115086358+GiovanniCanali@users.noreply.github.com>
Co-authored-by: giovanni <giovanni.canali98@yahoo.it>
Co-authored-by: AleDinve <giuseppealessio.d@student.unisi.it>

tutorials/tutorial21/tutorial.ipynb

@@ -163,10 +163,9 @@
     "At their core, **Neural Operators** transform an input function $a$ into an output function $u$. The general structure of a Neural Operator consists of three key components:\n",
     "\n",
     "<p align=\"center\">\n",
-    "    <img src=\"../static/neural_operator.png\" alt=\"Neural Operators\" width=\"800\"/>\n",
+    "    <img src=\"http://raw.githubusercontent.com/mathLab/PINA/master/tutorials/static/neural_operator.png\" alt=\"Neural Operators\" width=\"800\"/>\n",
     "</p>\n",
     "\n",
-    "\n",
     "1. **Encoder**: The encoder maps the input into a specific embedding space.\n",
     "\n",
     "2. **Processor**: The processor consists of multiple layers performing **function convolutions**, which is the core computational unit in a Neural Operator. \n",