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lme4

Mixed-effects models in R using S4 classes and methods with RcppEigen

lmkkmeans

Localized Multiple Kernel k-Means Clustering

lmlcr

Lightweight Machine Learning Classics with R (Book Draft)

lmw-tree

Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, clustering, random projections, random indexing, hashing, bit signatures

loading_merging_and_joining_datasets

This is the minimal coding necessary to assemble the various data feeds and sort out the likes of variables naming & new features creation plus some general housekeeping tasks

local-purtree-spectral-clustering

Local PurTree Spectral Clustering

local-sensitivity-hashing

For the given dataset, use a locality sensitive hashing scheme to search for approximate nearest neghbors. Use the following queryset. You can use any parameter choices to obtain the nearest neighbors. Deliverables: 1. The approximate nearest neighbors of the queries. 2. Describe all the parameters and the reason for choosing them. 3. The code for building the hash table and searching the tables.

locality-sensitive-hashing

locality-sensitive-hashing-1

Locality-sensitive hashing based on the Jaccard metric

locality-sensitive-hashing-2

Locality sensitive hashing in MapReduce.

locality-sensitive-hashing-3

locality-sensitive-hashing-4

locality-sensitive-hashing-5

An implementation of locality sensitive hashing algorithm.

locality-sensitive-hashing-and-recommendation-systems

This project will consider making movie recommendation and use LSH to efficiently find similar users for recommendation.

locality-sensitive-hashing-example

Simple example of Locality Sensitive Hashing

localitysensitivehashing

A Python library that implements locality-sensitive hashing for the near(est) neighbors problem.

localitysensitivehashing-1

localitysensitivehashing-2

This is an implementation of the locality sensitive hashing algorithm to find pairs of sentences that are copies of one another. Locality sensitive hashing algorithm is described in the document Mining of Massive Datasets by A. Rajaraman and J. Ullman1

localitysensitivehashing-3

A python implementation of minhash locality sensitive hashing

localmap

Locality-sensitive minimal perfect hash map

log-bilinear-language-models

logger

A lightweight, modern and flexible, log4j and futile.logger inspired logging utility for R

logistf

logistic-mf

Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf

logistic-regression-direct-marketing-campaigns-of-a-portuguese-banking-institution

logistic-regression-external-validation-sample-size

logisticpca

Dimensionality reduction for binary data

logloss

logreg

Logistic regression algorithms

lollipop

A machine-learning algorithm to predict CTCF-mediated long-range chromatin interactions