tfext (TensorFlow Extension)

Some basic stuff for using with TensorFlow.

• BatchData, with takes an arbitrary Python function that generates (feature, label) pairs, sets it going in multiple threads, and feeds the results into a tf.data.Dataset.
• Network, a Keras-inspired interface for assembling layers of neurons.
• RegressorAverager, for averaging an ensemble.
• ProcessorBase, for building in pre- and post-processing either side of the DNN.
• concat_activations and friends, for modifying existing activation functions to combine them into new more complex activation functions.

Plus a bit more.

Depends upon the tools library.