mindis Goto Github PK
Name: Mindaugas Zickus
Type: User
Company: Marks and Spencer
Twitter: MindisZ
Location: London, UK
Name: Mindaugas Zickus
Type: User
Company: Marks and Spencer
Twitter: MindisZ
Location: London, UK
Scala extensions for the Kryo serialization library
Mobile Web App Framework
Research code for "Choosing to grow a graph" project. Contains code for network generation and model estimation.
Chrome Apps
Chronicle Bytes has a similar purpose to Java NIO's ByteBuffer with many extensions
Replicate your Key Value Store across your network, with consistency, persistance and performance.
Micro second messaging that stores everything to disk
The Chronix Server implementation that is based on Apache Solr.
Time series analysis with Apache Spark based on Chronix |
Code accompanying blog post
Manage your Databricks deployments and CI with code.
The Clojure Interactive Development Environment that Rocks for Emacs
Implementation of A Neural Collaborative Filtering Model with Interaction-based Neighborhood (NNCF)
graph convolution embedding with diverse user behavior and bayesian personalized ranking in recommendation system.
Cis Recommender
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.
An extensible media player for the web
Active learning for text classification with spacy and django
Elastic Search for Magento Global Admin Search. Demo: http://screencast.com/t/NVXA8z4S
The standard package for machine learning with label errors, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.
A flexible, partial, out-of-order and real-time typeahead search library
A small package for building command line apps in Go
ClickHouse is a free analytic DBMS for big data.
ClickHouse DBMS build script for RHEL based distributions
PostgreSQL's Foreign Data Wrapper For ClickHouse
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 :)
Contains all the files, code, Installation guide, Visualizations, etc of the project.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.