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Mindaugas Zickus's Projects

chill icon chill

Scala extensions for the Kryo serialization library

choose2grow icon choose2grow

Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.

chronicle-bytes icon chronicle-bytes

Chronicle Bytes has a similar purpose to Java NIO's ByteBuffer with many extensions

chronicle-map icon chronicle-map

Replicate your Key Value Store across your network, with consistency, persistance and performance.

chronix.server icon chronix.server

The Chronix Server implementation that is based on Apache Solr.

churn icon churn

Code accompanying blog post

cider icon cider

The Clojure Interactive Development Environment that Rocks for Emacs

cikm17-nncf icon cikm17-nncf

Implementation of A Neural Collaborative Filtering Model with Interaction-based Neighborhood (NNCF)

cikm2019 icon cikm2019

graph convolution embedding with diverse user behavior and bayesian personalized ranking in recommendation system.

ck icon ck

Concurrency primitives, safe memory reclamation mechanisms and non-blocking (including lock-free) data structures designed to aid in the research, design and implementation of high performance concurrent systems.

clappr icon clappr

An extensible media player for the web

claxon icon claxon

Active learning for text classification with spacy and django

cleanlab icon cleanlab

The standard package for machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

cleo icon cleo

A flexible, partial, out-of-order and real-time typeahead search library

cli icon cli

A small package for building command line apps in Go

clickhouse icon clickhouse

ClickHouse is a free analytic DBMS for big data.

clickmodels icon clickmodels

ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

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