diff --git a/torchkit/README.md b/torchkit/README.md
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+++ b/torchkit/README.md
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+# David's torchkit
+
+Some utilities useful for prototyping with pytorch.
diff --git a/torchkit/plotwidget.py b/torchkit/plotwidget.py
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+++ b/torchkit/plotwidget.py
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+from .labwidget import ImageWidget, Property
+import matplotlib, matplotlib.pyplot
+import inspect
+
+class PlotWidget(ImageWidget):
+    """
+    A widget to create interactive matplotlib plots by defining a simple function.
+    Example of usage:
+
+    ```
+		import numpy
+		def simple_redraw_rule(fig, amp=1.0, freq=1.0):
+			[ax] = fig.axes
+			ax.clear()
+			x = numpy.linspace(0, 5, 100)
+			ax.plot(x, amp * numpy.sin(freq * x))
+							   
+		plot = PlotWidget(simple_redraw_rule)
+		display(plot)
+    ```
+
+    The keyword arguments in the provided function will become properties
+    of the plot widget; updating those properties will redraw the plot in-place.
+    For example, in the above, assigning `plot.freq = 3` will redraw the
+    plot with freq set to 3.
+    """
+    def __init__(self, redraw_rule, **kwargs):
+        super().__init__()
+        init_args = dict(kwargs)
+        
+        all_names = []
+        for i, (name, p) in enumerate(inspect.signature(redraw_rule).parameters.items()):
+            if i == 0:
+                assert p.default == inspect._empty, 'First arg of redraw rule should be the figure'
+            else:
+                if name in kwargs:
+                    default = init_args.pop(name)
+                else:
+                    assert p.default != inspect._empty, 'Arguments must have default values'
+                    default = p.default
+                setattr(self, name, Property(default))
+                all_names.append(name)
+
+        old_backend = matplotlib.get_backend()
+        matplotlib.use('agg')
+        if 'mosaic' in init_args:
+           self.fig, _ = matplotlib.pyplot.subplot_mosaic(**init_args)
+        else:
+           self.fig, _ = matplotlib.pyplot.subplots(**init_args)
+        matplotlib.use(old_backend)
+
+        def invoke_redraw():
+            args = [self.fig]
+            for name in all_names:
+                args.append(getattr(self, name))
+            redraw_rule(*args)
+            self.render(self.fig)
+        self.on(' '.join(all_names), invoke_redraw)
+        invoke_redraw()
+