danielgribel
data science, machine learning, optimization, and data visualization
PUC-RioRio de Janeiro, Brazil
Pinned Repositories
ActiveLearning
Using Active learning from scratch in a simple prediction task with Julia language
AssortativeSBM
Source code of AC-DC-SBM, from "Assortative-Constrained Stochastic Block Models" (Gribel, Vidal and Gendreau, 2020)
AttributedSBM
Fits an attributed stochastic block model for networks with multiple continuous attributes
CadastroUnico
Exploratory data analysis of the Cadastro Unico dataset (2018): pre-processing, basic statistics, data visualization, and variables correlation.
FastSVM
Implementation of the algorithm from "Fast training of Support Vector Machines with Gaussian kernel" (Fischetti, 2016)
ga-clustering
A framework to solve clustering problems through meta-heuristics
hg-means
Source code of HG-means clustering, from "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering". (Gribel and Vidal, 2019)
qap
Constructive methods and 2opt local search applied to the quadratic assignment problem
SSC-IPA
Source code of "Semi-Supervised Clustering with Inaccurate Pairwise Annotations" (Gribel, Gendreau and Vidal, 2021)
tup
Traveling Umpire Problem
danielgribel's Repositories
danielgribel/hg-means
Source code of HG-means clustering, from "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering". (Gribel and Vidal, 2019)
danielgribel/AssortativeSBM
Source code of AC-DC-SBM, from "Assortative-Constrained Stochastic Block Models" (Gribel, Vidal and Gendreau, 2020)
danielgribel/SSC-IPA
Source code of "Semi-Supervised Clustering with Inaccurate Pairwise Annotations" (Gribel, Gendreau and Vidal, 2021)
danielgribel/CadastroUnico
Exploratory data analysis of the Cadastro Unico dataset (2018): pre-processing, basic statistics, data visualization, and variables correlation.
danielgribel/ga-clustering
A framework to solve clustering problems through meta-heuristics
danielgribel/qap
Constructive methods and 2opt local search applied to the quadratic assignment problem
danielgribel/tup
Traveling Umpire Problem
danielgribel/ActiveLearning
Using Active learning from scratch in a simple prediction task with Julia language
danielgribel/AttributedSBM
Fits an attributed stochastic block model for networks with multiple continuous attributes
danielgribel/datascience-olympics
Predictive model applied to the 2016 Olympic Games. The focus is on the medal table to be achieved by Brazil, the host country of the competition. We analyze historical series from economic indicators, recent competitions, and data on investment in sports.
danielgribel/FastSVM
Implementation of the algorithm from "Fast training of Support Vector Machines with Gaussian kernel" (Fischetti, 2016)
danielgribel/tickets
Tickets management system w/ Java, Struts and MySQL
danielgribel/BusCheckerClient
The client app for the BusChecker project
danielgribel/BusCheckerServer
The server files - php and sql scripts - for the BusChecker app.
danielgribel/CS-180
UCLA CS 180
danielgribel/cube
danielgribel/d3-virua
Data visualization of plants similarity, with d3.js. We analyze species that occur in the region of Virua (Amazon).
danielgribel/DasbuchWSWebClient
danielgribel/edit-distance
Script for calculating the edit distance between two strings. We compare two approaches in terms of computational time: linear storage and quadratic storage.
danielgribel/eternity
Eternity II puzzle
danielgribel/lop
Linear ordering problem
danielgribel/MixGaussian
A mixture of Gaussians generator written in R. It generates Gaussian distributions with fixed standard deviation in each dimension (spherical clusters) and calculates the C-separability index described in "Learning mixtures of Gaussians" (Dasgupta, 1999)
danielgribel/mtsp
Minimization of Tool Switches Problem
danielgribel/oc-clustering
danielgribel/PCenter
Implementation of the algorithms described in "A new formulation and resolution method for the p-center problem" (Elloumi et al, 2004) for the P-center problem.
danielgribel/soa