Advanced and Fast Data Transformation in R

Locally-weighted polynomial regression via the LOWESS algorithm.

Compute an exponentially weighted standard deviation incrementally.

Compute an exponentially weighted mean incrementally.

Compute an exponentially weighted variance incrementally.

Compute a weighted arithmetic mean incrementally.

A weighted random item sampler (selector), where the probability of selecting an item is proportional to its weight. The sampling method utilizes a binary search optimization, making it suitable for performance-demanding applications where the set of items is large and the sampling frequency is high.

Load balancer between nodes.

A new clustering technique is proposed that incorporates outliers during clustering. The proposed approach involves using a variable, (λ > 0), to define the cluster radius. Weighted an

A list of weighted items for weighted selection and randomisation, available in both Python and C#

Hashed weighted round robin is a load balancing algorithm that will distribute traffic between destinations based on a hash and weight of backends.

A program for interactive navigating through weighted hierarchical structured data and analyzing them

Dart implementation of a directed graph. Provides algorithms for sorting vertices, retrieving a topological ordering or detecting cycles.

Dropwizard JAVA8 based external load balancer supporting the following modes: ROUND_ROBIN, RANDOM, STICKY, IP_HASH, KEY_HASH, TIMESTAMP_HASH, WEIGHTED

OpenMP-based Parallel Graph implementation.

A Rust library for weighted balancing algorithm

Ultra fast and lightweight function to pick a random item from a weighted list.

Simple Python class for performing a Weighted PCA (WPCA)

Weighted Rendezvous Hashing

Weighted Expectation-Maximization for sparse GMM Training that was a sub-algorithm in my thesis.