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Different types of autoencoders illustrated on MNIST using TensorFlow.
Siamese neural networks for representation learning using Theano.
Bayesian Gaussian mixture models in Python.
Correspondence and autoencoder neural network training for speech using Pylearn2.
Dynamic time warping (DTW) functions for specifically speech alignment.