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A-Comparative-Study-on-Graph-Convolutional-Networks
A-Comparative-Study-on-Graph-Convolutional-Networks PublicThis project aims to compare three types of GCNs (plain GCNs, Graph Attention Networks and FastGCN) in a large-scale simulation study with respect to accuracy, memory and computational complexity.
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Time-Series-versus-Cross-Sectional-Momentum
Time-Series-versus-Cross-Sectional-Momentum PublicProject as part of a term paper in my undergraduate studies
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gmm-vae-clustering-pytorch
gmm-vae-clustering-pytorch PublicPytorch implementation of a Gaussian Mixture Variational Autoencoder used for clustering of the MNIST data set.
Python 3
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Does-VI-work
Does-VI-work PublicThis is the code for the micro-project 'Variational Inference: ”Does it work?”'. This project is part of the StatML CDT at University of Oxford and Imperial College London.
Jupyter Notebook 1
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Tag-Recommendation-in-StackOverflow
Tag-Recommendation-in-StackOverflow PublicProject work submitted as part of the MSc Statistics course on Bayesian Machine Learning at the London School of Economics and Political Science
Jupyter Notebook 1
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