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A curated list of awesome neural radiance fields papers
LaTeX files for the Deep Learning book notation
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Site web of the Mathematical Tours
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Using R and Bioconductor packages for the analysis and comprehension of proteomics data.
These are cheat sheets and notes I made as part of an MSc in Statistics, at the University of Sheffield, UK.
Slides for my talk at ACT 2022, 'Fully abstract categorical semantics for digital circuits'
Source code of my 2012 thesis "Latent Dirichlet Allocation in R"
Pipeline for the unsupervised clustering of homologous RNA structure motifs from sequencing data.
Sources for our slides for the latent structure in NLP tutorial