diff --git a/requirements.txt b/requirements.txt
index 3050110..d31d588 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -12,13 +12,14 @@ nbsphinx
 tensorflow_probability
 scipy
 scikit-learn
-jaxlib
-jax
+# Temp fix of version of jax and jaxlib until the next release
+jax<=0.4.25
+jaxlib<=0.4.25
 plotly
 flax
 tqdm
 pandas
-neural-tangents==0.6.4
+neural-tangents>=0.6.5
 tensorflow-datasets
 isort
 tensorflow
diff --git a/znnl/training_recording/jax_recording.py b/znnl/training_recording/jax_recording.py
index 862b7d4..9ba92f8 100644
--- a/znnl/training_recording/jax_recording.py
+++ b/znnl/training_recording/jax_recording.py
@@ -254,17 +254,19 @@ 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 856ecdd..d0d613a 100644
--- a/znnl/visualization/tsne_visualizer.py
+++ b/znnl/visualization/tsne_visualizer.py
@@ -104,45 +104,47 @@ 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",
+        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},
-                        },
-                    ],
-                    "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,
@@ -163,20 +165,24 @@ 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):