mkurovski

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

aoc_2023

Advent of Code 2023

deep_learning_recsys

Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture

deep_rl_nanodegree

Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

emnist_dl2prod

JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

liked2play

Generate Spotify Playlist Recommendations from your Personal Data

multi_channel_bpr

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

recsperts-transcripts

Transcripts for Episodes of my Podcast "Recsperts - Recommender Systems Experts"

recsys_training

Hands-on Introduction to Recommender Algorithms

mkurovski/deep_learning_recsys

Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture

mkurovski/emnist_dl2prod

JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment

mkurovski/multi_channel_bpr

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

mkurovski/liked2play

Generate Spotify Playlist Recommendations from your Personal Data

mkurovski/recsys_training

Hands-on Introduction to Recommender Algorithms

mkurovski/deep_rl_nanodegree

Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

mkurovski/annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

mkurovski/aoc_2023

Advent of Code 2023

mkurovski/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

mkurovski/lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

mkurovski/lopq

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

mkurovski/recsperts-transcripts

Transcripts for Episodes of my Podcast "Recsperts - Recommender Systems Experts"

mkurovski/search_engineering

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.

mkurovski/search_fundamentals_course

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

mkurovski/search_with_machine_learning_course

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.

mkurovski/spotlight

Deep recommender models using PyTorch.

mkurovski/tensorflow

Computation using data flow graphs for scalable machine learning

mkurovski/test_graphpipe