mkurovski

deep_learning_recsys

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

emnist_dl2prod

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

multi_channel_bpr

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

liked2play

Generate Spotify Playlist Recommendations from your Personal Data

recsys_training

Hands-on Introduction to Recommender Algorithms

deep_rl_nanodegree

Project Solutions for my Deep Reinforcement Learning Nanodegree at Udacity

annoy

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

aoc_2023

Advent of Code 2023

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lopq

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

recsperts-transcripts

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

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.

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

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.

spotlight

Deep recommender models using PyTorch.

tensorflow

Computation using data flow graphs for scalable machine learning

test_graphpipe