[ENH] Adding Time Mixingup Contrastive Learning to Self Supervised module

[hadifawaz1999]

Adding a state of the art model TimeMCL [1] to populate the self supervised model, after this will probably add a base model to contain the load/save functions

The model takes as input 2 time series, with no informaiton on the labels, augments a third series by mixing up x1 and x2 as x3 = lamda.x1 + (1-lamda).x2 and the model uses a contrastive learning loss to match again the augmented x3 sample to x1 and x2 and discard the rest of the series in the batch

Original code is in torch i adapted it to tensorflow keras

[1] Wickstrøm, Kristoffer, Michael Kampffmeyer, Karl Øyvind Mikalsen, and Robert Jenssen. "Mixing up contrastive learning: Self-supervised representation learning for time series." Pattern Recognition Letters 155 (2022): 54-61.

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[chrisholder]

LGTM