david-cortes

Pinned Repositories

cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Language:C117 8 4332
contextualbandits
Python implementations of contextual bandits algorithms
Language:Python749 23 62148
costsensitive
(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
Language:Python47 4 1019
ctpfrec
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
Language:Python30 3 59
hpfrec
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Language:Python79 5 1219
isotree
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Language:C++197 10 5338
outliertree
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Language:C++56 5 84
poismf
(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
Language:C45 7 213
R-openblas-in-windows
Short tutorial for setting up OpenBLAS in R for Windows
37 5 22
snapper-in-debian-guide
Step-by-step guide for configuring Debian with automated BTRFS snapshots and rollbacks from the boot menu
45 6 76

david-cortes's Repositories

david-cortes/contextualbandits
Python implementations of contextual bandits algorithms
Language:Python749 23 62148
david-cortes/isotree
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Language:C++197 10 5338
david-cortes/cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Language:C117 8 4332
david-cortes/hpfrec
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Language:Python79 5 1219
david-cortes/outliertree
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Language:C++56 5 84
david-cortes/costsensitive
(Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
Language:Python47 4 1019
david-cortes/poismf
(Python, R, C) Poisson matrix factorization (non-Bayesian version) (recommender systems)
Language:C45 7 213
david-cortes/snapper-in-debian-guide
Step-by-step guide for configuring Debian with automated BTRFS snapshots and rollbacks from the boot menu
45 6 76
david-cortes/R-openblas-in-windows
Short tutorial for setting up OpenBLAS in R for Windows
37 5 22
david-cortes/ctpfrec
Python implementation of "Content-based recommendations with poisson factorization", with some extensions
Language:Python30 3 59
david-cortes/recometrics
(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
Language:C++26 2 43
david-cortes/MatrixExtra
(R) Efficient methods and operators for the sparse matrix classes in 'Matrix' (esp. CSR format or "RsparseMatrix")
Language:C++20 3 73
david-cortes/approxcdf
(Python, R, C) Fast approximations for the CDF of multivariate normal distributions
Language:C++18 4 25
david-cortes/installing-optimized-libraries
Step-by-step guide for installing scientific libraries for R and Python in ways that maximize their performance
10 2 0
david-cortes/readsparse
(Python, R, C++) Read and write sparse matrices in SVMLight / LibSVM formats
Language:C++8 2 13
david-cortes/multinomial_probit
(R, Python) Multinomial Probit Regression (MNP) for multi-class classification
Language:C++6 2 01
david-cortes/cycereal
C++ Cereal headers as an installable Python package, for Cython
Language:C++5 2 0
david-cortes/findblas
Python module for finding available BLAS libraries in the system and linking wrapped C/C++ or FORTRAN code to it
Language:C5 3 52
david-cortes/altreppedpointer
(R) Example of using R's ALTREP system with externalptr objects to manage serialization of C++ objects
Language:C++1 1 0
david-cortes/feature_engine
Feature engineering package with sklearn like functionality
Language:Python1 1 0
david-cortes/duckdb
DuckDB is an in-process SQL OLAP Database Management System
Language:C++1 0
david-cortes/duckdb-web
DuckDB-Web - Source code of duckdb.org
Language:JavaScript1 0
david-cortes/L-BFGS-B-NS
(Python, FORTRAN) Minimization of non-smooth functions subject to bound constraints
Language:Fortran2 0
david-cortes/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.
Language:C++1 0
david-cortes/python-libmf
Language:C++1 0
david-cortes/rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Language:R2 0
david-cortes/scikit-learn
scikit-learn: machine learning in Python
Language:Python1 0
david-cortes/snapper-rollback
Script for rolling back to a previous snapper-managed BTRFS snapshot.
Language:Python1 0
david-cortes/unwindprotect
(R) Example of using R's unwind protection with C++ objects
Language:C++1 0
david-cortes/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
Language:C++1 0