This project contains the implementation of using the generative models in continuous authentication on motion sensor data from the H-MOG dataset.
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Updated
Apr 4, 2021 - Python
This project contains the implementation of using the generative models in continuous authentication on motion sensor data from the H-MOG dataset.
Delayed Rejection Generalized HMC sampler
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Novel Markov chain Monte Carlo algorithm for sampling from multi-scale distributions
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Monte is a set of Monte Carlo methods in Python. The package is written to be flexible, clear to understand and encompass variety of Monte Carlo methods.
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Modified TensorFlow implementation for training MCMC samplers on Lattice Gauge Theory models from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
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