Changed directory structure to accomodate examples as apposed to everything being a part of the core library. May need to rethink this in the future. Added some boilerplate for pip packaging to the .gitignore.

manim_ml/probability_embedding.py

@@ -0,0 +1,20 @@
+from manim import *
+
+class NeuralNetworkEmbedding(Axes):
+    """NeuralNetwork embedding object that can show probability distributions"""
+
+    def construct_gaussian_distribution(self, mean, covariance, color=ORANGE, dot_radius=0.05, ellipse_stroke_width=0.3):
+        """Returns a 2d Gaussian distribution object with given mean and covariance"""
+        # map mean and covariance to frame coordinates
+        mean = self.coords_to_point(*mean)
+        covariance = self.coords_to_point(*covariance)
+        # Make a covariance ellipse centered at mean 
+        center_dot = Dot(mean, radius=dot_radius, color=color)
+        ellipse = Ellipse(width=covariance[0], height=covariance[1], color=color, fill_opacity=0.3, stroke_width=ellipse_stroke_width)
+        ellipse.move_to(mean)
+        gaussian_distribution = VGroup(
+            center_dot, 
+            ellipse
+        )
+
+        return gaussian_distribution