mkurovski Goto Github PK
Name: Marcel Kurovski
Type: User
Company: @Wolt/DoorDash
Bio: Data Scientist with focus on Deep Learning and Recommender Systems
Location: Cologne
Name: Marcel Kurovski
Type: User
Company: @Wolt/DoorDash
Bio: Data Scientist with focus on Deep Learning and Recommender Systems
Location: Cologne
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Advent of Code 2023
Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity
JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A Python implementation of LightFM, a hybrid recommendation algorithm.
Generate Spotify Playlist Recommendations from your Personal Data
Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Transcripts for Episodes of my Podcast "Recsperts - Recommender Systems Experts"
Hands-on Introduction to Recommender Algorithms
Public repository for the Search Engineering course taught by Grant Ingersoll and Dave Anderson. Available at https://corise.com/course/search-engineering?utm_source=daniel.
Public repository for the Search Fundamentals course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-fundamentals?utm_source=daniel
Public repository for the Search with Machine Learning course taught by Daniel Tunkelang and Grant Ingersoll. Available at https://corise.com/course/search-with-machine-learning?utm_source=daniel.
Deep recommender models using PyTorch.
Computation using data flow graphs for scalable machine learning
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.