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a library of tools to produce labeled dataset for the quantum separability problem for data with high dimensional state space.

Minimum working example of Nystrom Layer implementation

Python implementation of algorithms from paper Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions, by N. Halko, P. G. Martinsson and J. A. Tropp, SIAM review, 53 (2), 2011.

We proposed a multi-view deep learning framework that allows combining the activation- and connectivity-based fMRI protocols to identify markers of individual differences.

Transition based Dependency parsing with reinforcement learning. With backtracking.

Compute similarity and neighbours in word embedding space.