Alessandra Cabassi's starred repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
tf-quant-finance
High-performance TensorFlow library for quantitative finance.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science
awesome-multi-omics
List of software packages for multi-omics analysis
Machine-Learning-A-Probabilistic-Perspective-Solutions
My solutions to Kevin Murphy Machine Learning Book
pandoc-journal-templates
Pandoc templates and resources for the major (bio)statistics journals
liquidSVM
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
variational-bayes-book
Open access book on variational Bayesian methods written collaboratively
MDT-Quick-Manual
unofficial quick guide for the masters-doctoral-thesis-template
PReMiuM-R-package
PReMiuM R package
COVID-19-IT
Statistical Modelling of COVID-19 Outbreak in Italy
ParticleMDI.jl
A Julia package for integrative cluster analysis of multiple genomics datasets
sugsvarsel
An R package for the SUGS and SUGS VarSel algorithms
IPFStructPenalty
R package for the structured penalized regression