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This PR introduces a matrix-based implementation of GloVe (Global Vectors for Word Representation) for SystemDS, enabling the computation of word embeddings using co-occurrence statistics. The implementation follows the original GloVe paper and is based on the open-source implementation mittens.
It leverages efficient matrix operations for weight computation and gradient updates while integrating adaptive learning through momentum-based updates for stability in dml.