lagodiuk Goto Github PK
Name: Yurii Lahodiuk
Type: User
Name: Yurii Lahodiuk
Type: User
Tiny implementation of Belief Propagation algorithm, with applying it for graph colouring problem (and try to apply Belief Propagation for solving sudoku puzzles).
Tiny simulator of Computed Axial Tomography (CAT) scanner
Various code snippets.
Implementation of Graham's scan method for computing 2D convex hull in Erlang.
Implementation of Cocke–Younger–Kasami parsing algorithm in JavaScript
Implementation of Decision tree engine from scratch
Small JavaScript implementation of ID3 Decision tree
Tiny JavaScript implementation of context-free languages parser - Earley parser (including generation of the parsing-forest).
Evolving of neural networks for collective agents
Generic implementation of genetic algorithm in Java.
Generic implementation of genetic algorithm in Erlang.
Evolving pictures, using genetic algorithm (my old project, with need of some refactoring).
Symbolic regression solver, based on genetic programming methodology.
Sandbox for graphical experiments
Clustering rss feeds content
My solution of the IBM Ponder This challenge (organized by IBM Research in June 2017).
My solution of the IBM Ponder This challenge (organized by IBM Research in May 2017).
Repository contains the derivation of Belief Propagation algorithm from the ground up, as well as generic Java implementation of the Loopy Belief Propagation algorithm.
Example project for setting up embedded Jetty 8 with Spring-MVC, JSP and JSTL support (uses Maven).
Source code of my blog: http://lagodiuk.github.io/
Implementation of lazy calculations concept in Erlang
Algorithm for the derivation of the top-K string alignments, based on the Levenshtein distance.
Fantastic Micro-Frameworks and Micro-Libraries for Fun and Profit!
Reformulation of algorithms for model of MapReduce computations (using handwritten toy MapReduce framework).
Workaround incompatibility problem of Lucene 4 and Neo4j (which uses Lucene 3) - by creation of "uber" jar for Neo4j (and renaming Lucene 3 packages, using Maven Shade Plugin).
PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more.
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.