Recommender System Libraries - Page 5

Deep recommender systems for Rust

Rust 112Updated: 2 y ago License: Permissive (MIT)

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Jupyter Notebook 112Updated: 2 y ago License: No License (No License)

Simple but Flexible Recommendation Engine in PyTorch

Jupyter Notebook 112Updated: 3 y ago License: Permissive (MIT)

A simple recommendation engine for Rails/Postgres

Ruby 111Updated: 3 y ago License: Permissive (MIT)

🍃 Recommender System in JavaScript for the MovieLens Database

JavaScript 111Updated: 3 y ago License: No License (No License)

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

C++ 110Updated: 4 y ago License: Strong Copyleft (GPL-3.0)

Simple recommendation engine implementation built on top of Redis

Go 109Updated: 3 y ago License: Permissive (BSD-3-Clause)

推荐系统学习资料、源码、及读书笔记

Python 107Updated: 3 y ago License: No License (No License)

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Python 107Updated: 4 y ago License: Strong Copyleft (GPL-3.0)

A fair-share ratelimiter implemented in BPF

C 107Updated: 3 y ago License: Permissive (BSD-3-Clause)

scikit-fusion: Data fusion via collective latent factor models

Python 106Updated: 3 y ago License: Proprietary (Proprietary)

基于知识图谱的推荐系统

Python 106Updated: 1 y ago License: Permissive (MIT)

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

Jupyter Notebook 106Updated: 2 y ago License: Permissive (MIT)

A pytorch package for non-negative matrix factorization.

Python 105Updated: 3 y ago License: Permissive (MIT)

Sharing the CTR Prediction original paper and personal study notes

Python 105Updated: 4 y ago License: No License (No License)

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Python 104Updated: 3 y ago License: Permissive (MIT)

Autorec (Autoencoders Meet Collaborative Filtering)

Python 104Updated: 3 y ago License: No License (No License)

A Tensorflow based implicit recommender system

Python 103Updated: 4 y ago License: No License (No License)

Deep reinforcement learning for recommendation system

Python 103Updated: 3 y ago License: No License (No License)

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

Python 103Updated: 1 y ago License: No License (No License)

Using Deep Autoencoders for predictions of movie ratings.

Python 103Updated: 4 y ago License: Permissive (Apache-2.0)

Efficient and extensible GNNs enhanced recommender library based on RecBole.

Python 103Updated: 2 y ago License: Permissive (MIT)

Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank and Factorization Machines.

C++ 102Updated: 4 y ago License: No License (No License)

A recommender system built for book lovers.

Jupyter Notebook 102Updated: 1 y ago License: Strong Copyleft (AGPL-3.0)

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

Python 101Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

:ocean: FluRS: A Python library for streaming recommendation algorithms

Python 100Updated: 3 y ago License: Permissive (MIT)

Deep learning based image similarity search for product recommendations

Python 100Updated: 2 y ago License: No License (No License)

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

C++ 99Updated: 4 y ago License: No License (No License)

Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems

Jupyter Notebook 99Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

C 98Updated: 2 y ago License: Permissive (MIT)

ebpf.io Website

HTML 98Updated: 1 y ago License: Permissive (CC-BY-4.0)

NMF: A Flexible R package for Nonnegative Matrix Factorization

R 97Updated: 4 y ago License: No License (No License)

matrix factorization in PyTorch

Python 94Updated: 3 y ago License: No License (No License)

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

Python 94Updated: 1 y ago License: Proprietary (Proprietary)

Source code and dataset for EMNLP 2019 paper "Towards Knowledge-Based Recommender Dialog System"

Python 93Updated: 3 y ago License: Permissive (MIT)

A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)

Python 93Updated: 2 y ago License: Strong Copyleft (GPL-3.0)

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

Python 92Updated: 1 y ago License: Permissive (MIT)

Python toolbox for nonnegative matrix factorization

Python 91Updated: 3 y ago License: Permissive (BSD-3-Clause)

Implement a content-based and collaborative filtering recommendation systems for song recommendations.

Jupyter Notebook 91Updated: 2 y ago License: Permissive (MIT)

Keras implementation of GRU4Rec session-based recommender system

Python 90Updated: 3 y ago License: No License (No License)

Disentagnled Graph Collaborative Filtering, SIGIR2020

Python 88Updated: 3 y ago License: No License (No License)

A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.

Jupyter Notebook 88Updated: 3 y ago License: No License (No License)

tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.

Python 87Updated: 3 y ago License: Permissive (MIT)

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Python 87Updated: 3 y ago License: No License (No License)

Tetris in bpftrace

Shell 87Updated: 3 y ago License: No License (No License)

Compute and plot NDCG for a recommender system

Python 86Updated: 4 y ago License: Permissive (BSD-3-Clause)

Crab - A recommendation engine library for Python

Python 86Updated: 4 y ago License: No License (No License)

Exposure Matrix Factorization: modeling user exposure in recommendation

Jupyter Notebook 85Updated: 3 y ago License: No License (No License)

The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"

Python 83Updated: 2 y ago License: Permissive (Apache-2.0)

cache-friendly multithread matrix factorization

C++ 83Updated: 4 y ago License: Permissive (Apache-2.0)