david-cortes/xoshiro_cpp

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C++
Created over 3 years ago
Updated about 3 years ago

david-cortes/xoshiro_cpp

david-cortes

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C++ wrapper (as random engine) of the Xoshiro256++ and Xoshiro128++ random number generators

contextualbandits

Python implementations of contextual bandits algorithms

isotree

(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)

cmfrec

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

hpfrec

Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.

outliertree

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

costsensitive

(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)

poismf

(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)

ctpfrec

Python implementation of "Content-based recommendations with poisson factorization", with some extensions

datascienceprojects

Sample data science projects (machine learning, optimization, business intelligence)

recometrics

(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems

MatrixExtra

(R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")

R-openblas-in-windows

Short tutorial for setting up OpenBLAS in R for Windows

stochQN

(Python, Tensorflow, R, C, C++) Stochastic, limited-memory quasi-Newton optimizers (adaQN, SQN, oLBFGS)

approxcdf

(Python, R, C) Fast approximations for the CDF of multivariate normal distributions

pwlistorder

Ordering lists based on aggregated pairwise preferences

Jupyter Notebook

installing-optimized-libraries

Step-by-step guide for installing scientific libraries for R and Python in ways that maximize their performance

readsparse

(Python, R, C++) Read and write sparse matrices in SVMLight / LibSVM formats

multinomial_probit

(R, Python) Multinomial Probit Regression (MNP) for multi-class classification

cycereal

C++ Cereal headers as an installable Python package, for Cython

findblas

Python module for finding available BLAS libraries in the system and linking wrapped C/C++ or FORTRAN code to it

snapper-in-debian-guide

Step-by-step guide for configuring Debian with automated BTRFS snapshots and rollbacks from the boot menu

hierreg

Python multilevel modeling (see 'A convex optimization approach to modeling consumer heterogeneity in conjoint estimation')

Jupyter Notebook

binmf

(Python, R, C) Sparse binary matrix factorization with hinge loss

StratifiedRF

Random forest-like model sampling variables in groups

nonneg_cg

(Python, R, C/C++) Minimize a function subject to non-negativity constraints on variables (conjugate gradient)

fneighcf

Python implementation of 'Factor in the neighbors: Scalable and accurate collaborative filtering'