nickgreenquist's Stars
recommenders-team/recommenders
Best Practices on Recommendation Systems
fidelity/mab2rec
[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender
Praful932/Kitabe
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
ZuzooVn/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
ericderegt/algorand
Go implementation of Algorand
nickgreenquist/cu2rec
CUDA Implementation of Parallel Matrix Factorization Algorithm for Recommender Systems
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
dorukkilitcioglu/books2rec
A recommender system built for book lovers.
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
robi56/Deep-Learning-for-Recommendation-Systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
sdmg15/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
papers-we-love/papers-we-love
Papers from the computer science community to read and discuss.
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"