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david-cortes's Projects

altreppedpointer

(R) Example of using R's ALTREP system with externalptr objects to manage serialization of C++ objects

approxcdf

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

binmf

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

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

cmfrec

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

contextualbandits

Python implementations of contextual bandits algorithms

costsensitive

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

ctpfrec

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

cycereal

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

cythongsl

Cython interface for the GNU Scientific Library (GSL).

datascienceprojects

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

duckdb

DuckDB is an in-process SQL OLAP Database Management System

duckdb-web

DuckDB-Web - Source code of duckdb.org

feature_engine

Feature engineering package with sklearn like functionality

findblas

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

float

Single precision (float) matrices for R.

fneighcf

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

hierreg

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

how_to_use_rtd

Small guide for hosting docs for scientific Python packages on ReadTheDocs

hpfrec

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

icls

Python implementation of 'Implicitly constrained semi-supervised least squares classification'.

installing-optimized-libraries

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

isotree

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

l-bfgs-b-ns

(Python, FORTRAN) Minimization of non-smooth functions subject to bound constraints

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

matrixextra

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

multinomial_probit

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

nonneg_cg

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

numpy

The fundamental package for scientific computing with Python.

outliertree

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

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