mkurovski Goto Github PK

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

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

liked2play

Generate Spotify Playlist Recommendations from your Personal Data

lopq

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

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

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