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Retraining a SegFormer with a branch that generates query and key embeddings from intermediate hierarchical feature map logits. This is done so that a contrastive learning task can be performed alo…

Markov Chain Monte Carlo used for posterior probability distribution prediction. Under the Bayesian paradigm, two algorithmic updating approaches are explored - one in which we know the parameters …

An introduction to tensorflow in R. Notebook includes a code, that for any mutilabel dataset, with predictions, it computes a Macro-AUC as well as plots for those curves.

A sound data multilabel classification problem for 153 species of birds.