vihds/encoders.py (7 lines):
	- line 37: # TODO: Add kernel weight regularization somehow
	- line 42: # TODO: Add kernel weight regularization somehow
	- line 93: # TODO: Establish if this is necessary here. Feels like a TensorFlow hack...
	- line 141: # TODO: Add regularization (tf.keras.regularizers.l2(0.01) by default)
	- line 157: # TODO: Torch equivalent of tf.stop_gradient
	- line 199: # TODO: Torch equivalent of tf.stop_gradient
	- line 202: # TODO: Implement Tensorboard summaries


vihds/distributions.py (4 lines):
	- line 242: def sample(self, u, stop_grad):  # TODO reshape
	- line 300: # TODO: remove these guys
	- line 422: # TODO: remove these guys
	- line 483: # TODO: remove these guys


vihds/datasets.py (3 lines):
	- line 73: # TODO: Create a generic approach to storing and loading data
	- line 188: # raise NotImplementedError('TODO: Enable non-merged time-series data')
	- line 206: raise NotImplementedError("TODO: implement heldout device")


vihds/ode.py (3 lines):
	- line 25: raise NotImplementedError("TODO: write your own forward method")
	- line 61: raise NotImplementedError("TODO: write your condition_theta")
	- line 64: raise NotImplementedError("TODO: write your initialize_state")


models/prpr_constant.py (1 line):
	- line 24: # TODO: NN growth model for ethanol?


models/auto_constant.py (1 line):
	- line 26: # TODO: NN growth model for ethanol?


vihds/xval.py (1 line):
	- line 247: # TODO: Check just 1 treatment? 2treatments function fails when there is just 1 treatment


vihds/run_inference_graph.py (1 line):
	- line 78: # TODO: Do some preprocessing and checks here?


vihds/precisions.py (1 line):
	- line 66: # TODO: Add bias constraint