dselivanov/kmeansiou

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R
Created almost 5 years ago
Updated almost 5 years ago

dselivanov/kmeansiou

dselivanov

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k-means with IoU distance. Useful for anchor initialization in YOLO

text2vec

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

FTRL

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm

mlapi

Machine learning in R that doesn’t suck

LSHR

Locality Sensitive Hashing In R

kaggle-outbrain

Companion repository to blog posts https://dsnotes.com/post/2017-01-27-lessons-learned-from-outbrain-click-prediction-kaggle-competition/ and https://dsnotes.com/post/2017-02-07-large-data-feature-hashing-and-online-learning-part-2/

r-malloc

Testing R memory usage with different malloc implementations - glibc malloc, jemalloc, tcmalloc

convbond

convertible bond pricing

r-sparsepp

Rcpp interface to sparsepp - efficient hash map for C++

rscalaKafka

Tiny R kafka client with rscala

FM

Fast Factorization Machines

text2vec-cli

Command Line Interface to text2vec GloVe implementation

shinycamera

Video stream input to shiny applications

bench-wrmf

Benchmarking different implementations of weighted-ALS matrix factorization

MatrixCSR

Additional functionality for dgRMatrix matrices (aka CSR format) in Matrix package

sh2014

sna hackathon 2014

Sparse_Matrix_in_RcppArmadillo

Unofficial documentation for sparse matrix in RcppArmadillo

dselivanov.github.io

https://dsnotes.com - personal blog