MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
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Updated
Sep 16, 2024 - Jupyter Notebook
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
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Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder
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Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
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TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
Python toolbox for solving imaging continuous optimization problems.
Variational AutoEncoder with Population Queue and AVS
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Code for Adversarial Approximate Inference for Speech to Laryngograph Conversion
Mathematica code to generate the matrix elements required to build the kinetic energy operator (KEO) of linear molecule HCCH for use in numerical ro-vibrational calculations. The elements are Taylor-expanded in a set of 3N-6 internal coordinates (this can be amended to 3N-5) up to a user-defined expansion order
Discrete Variational Autoencoder in PyTorch
Efficient C implementation of Quantum Analytic Descent
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