diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index f102bd4..ce4d47f 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -4,12 +4,12 @@ fail_fast: true
 
 repos:
   - repo: https://github.com/psf/black
-    rev: 23.9.1
+    rev: 23.12.0
     hooks:
       - id: black
 
   - repo: https://github.com/timothycrosley/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
       - id: isort
 
diff --git a/znnl/training_recording/jax_recording.py b/znnl/training_recording/jax_recording.py
index 9ba92f8..862b7d4 100644
--- a/znnl/training_recording/jax_recording.py
+++ b/znnl/training_recording/jax_recording.py
@@ -254,19 +254,17 @@ def instantiate_recorder(self, data_set: dict = None, overwrite: bool = False):
             self._index_count = 0
 
         # Check if we need an NTK computation and update the class accordingly
-        if any(
-            [
-                "ntk" in self._selected_properties,
-                "covariance_ntk" in self._selected_properties,
-                "magnitude_ntk" in self._selected_properties,
-                "entropy" in self._selected_properties,
-                "magnitude_entropy" in self._selected_properties,
-                "magnitude_variance" in self._selected_properties,
-                "covariance_entropy" in self._selected_properties,
-                "eigenvalues" in self._selected_properties,
-                "trace" in self._selected_properties,
-            ]
-        ):
+        if any([
+            "ntk" in self._selected_properties,
+            "covariance_ntk" in self._selected_properties,
+            "magnitude_ntk" in self._selected_properties,
+            "entropy" in self._selected_properties,
+            "magnitude_entropy" in self._selected_properties,
+            "magnitude_variance" in self._selected_properties,
+            "covariance_entropy" in self._selected_properties,
+            "eigenvalues" in self._selected_properties,
+            "trace" in self._selected_properties,
+        ]):
             self._compute_ntk = True
 
         if "loss_derivative" in self._selected_properties:
diff --git a/znnl/visualization/tsne_visualizer.py b/znnl/visualization/tsne_visualizer.py
index d0d613a..856ecdd 100644
--- a/znnl/visualization/tsne_visualizer.py
+++ b/znnl/visualization/tsne_visualizer.py
@@ -104,47 +104,45 @@ def run_visualization(self):
         fig_dict["layout"]["xaxis2"] = {"domain": [0.8, 1.0]}
         fig_dict["layout"]["yaxis2"] = {"anchor": "x2"}
         fig_dict["layout"]["hovermode"] = "closest"
-        fig_dict["layout"]["updatemenus"] = [
-            {
-                "buttons": [
-                    {
-                        "args": [
-                            None,
-                            {
-                                "frame": {"duration": 500, "redraw": False},
-                                "fromcurrent": True,
-                                "transition": {
-                                    "duration": 300,
-                                    "easing": "quadratic-in-out",
-                                },
-                            },
-                        ],
-                        "label": "Play",
-                        "method": "animate",
-                    },
-                    {
-                        "args": [
-                            [None],
-                            {
-                                "frame": {"duration": 0, "redraw": False},
-                                "mode": "immediate",
-                                "transition": {"duration": 0},
+        fig_dict["layout"]["updatemenus"] = [{
+            "buttons": [
+                {
+                    "args": [
+                        None,
+                        {
+                            "frame": {"duration": 500, "redraw": False},
+                            "fromcurrent": True,
+                            "transition": {
+                                "duration": 300,
+                                "easing": "quadratic-in-out",
                             },
-                        ],
-                        "label": "Pause",
-                        "method": "animate",
-                    },
-                ],
-                "direction": "left",
-                "pad": {"r": 10, "t": 87},
-                "showactive": False,
-                "type": "buttons",
-                "x": 0.1,
-                "xanchor": "right",
-                "y": 0,
-                "yanchor": "top",
-            }
-        ]
+                        },
+                    ],
+                    "label": "Play",
+                    "method": "animate",
+                },
+                {
+                    "args": [
+                        [None],
+                        {
+                            "frame": {"duration": 0, "redraw": False},
+                            "mode": "immediate",
+                            "transition": {"duration": 0},
+                        },
+                    ],
+                    "label": "Pause",
+                    "method": "animate",
+                },
+            ],
+            "direction": "left",
+            "pad": {"r": 10, "t": 87},
+            "showactive": False,
+            "type": "buttons",
+            "x": 0.1,
+            "xanchor": "right",
+            "y": 0,
+            "yanchor": "top",
+        }]
 
         sliders_dict = {
             "active": 0,
@@ -165,24 +163,20 @@ def run_visualization(self):
         }
 
         # Add initial data
-        fig_dict["data"].append(
-            {
-                "x": self.dynamic[0][:, 0],
-                "y": self.dynamic[0][:, 1],
-                "mode": "markers",
-                "name": "Predictor",
-            }
-        )
-        fig_dict["data"].append(
-            {
-                "x": self.reference[0][:, 0],
-                "y": self.reference[0][:, 1],
-                "mode": "markers",
-                "xaxis": "x2",
-                "yaxis": "y2",
-                "name": "Target",
-            }
-        )
+        fig_dict["data"].append({
+            "x": self.dynamic[0][:, 0],
+            "y": self.dynamic[0][:, 1],
+            "mode": "markers",
+            "name": "Predictor",
+        })
+        fig_dict["data"].append({
+            "x": self.reference[0][:, 0],
+            "y": self.reference[0][:, 1],
+            "mode": "markers",
+            "xaxis": "x2",
+            "yaxis": "y2",
+            "name": "Target",
+        })
 
         # Make the figure frames.
         for i, item in enumerate(self.dynamic):