266 Open source projects that are alternatives of or similar to ds3-spring-2018

CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering

MoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships

Machine Learning in Condensed Matter Physics 2019 course repository

code for Gogleva et al manuscript

A python library for music recommendation

Multiplicative LSTM for Recommendations

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

Material for the Java 2019 courses owned and operated by HIT club

Bayesian Personalized Ranking using PyTorch

This is a repository of public data sources for Recommender Systems (RS).

GRu4Rec in TensorFlow

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

An Introduction to Programming in Python

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

Hybrid Recommender System

Sequential recommendation algorithm

Course material and references for Campus To Corporate course, 2017.

A framework for large scale recommendation algorithms.

The examples for the course on advanced programming for scientific computing (aka PACS), Politecnico di Milano

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

👩‍💻Source code for Vue.js Components Fundamentals course

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

Multi-order Attentive Ranking Model for Sequential Recommendation

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Here is All Weeks Assignment for Using Python to Access Web Data Course on Coursera

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

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

commits made while instructing EECS 1720 (winter 2022) (course @york University, Canada) - live content will be cleaned, edited, and described in logfile and code comments each week on Thursday

SoulSeek client with web interface and recommender system

content discovery... IN 3D

基于 Pytorch 实现推荐系统相关的算法

All contents from the course MAC0460 - An introduction to machine learning

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

Friends Recommendation and Link Prediction in Social Netowork

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)

Computational Neuroscience Crash Course (University of Bordeaux, 2020)

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

A simple Music Recommendation System

A simple movie recommendation engine

My lecture notes and other course materials

Efficient training of deep recommenders on cloud.

Neural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)

Machine Learning (EE 5184) in NTU

📖Notes and remarks on Machine Learning related papers

Rank and serve recommendations

DSCI-633: Foundations of Data Science https://github.com/hil-se/fds

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

kNN-based next-basket recommendation

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

a recommender engine node-js package for general use and easy to integrate.

Deep learning library in python from scratch

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

UC Berkeley team's submission for RecSys Challenge 2018

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Structured Programming, Object-oriented Programming (COM 118, 119)

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀