Ml Surveys📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
Stars: ✭ 1,063 (+711.45%)
LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
Stars: ✭ 3,884 (+2864.89%)
FmgKDD17_FMG
Stars: ✭ 116 (-11.45%)
RsalgorithmsSome algorithms about traditional and social recommendation.
Stars: ✭ 500 (+281.68%)
Cmfrec(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Stars: ✭ 63 (-51.91%)
Recsim A Configurable Recommender Systems Simulation Platform
Stars: ✭ 461 (+251.91%)
Drl RecDeep reinforcement learning for recommendation system
Stars: ✭ 92 (-29.77%)
Competitive RecsysA collection of resources for Recommender Systems (RecSys)
Stars: ✭ 434 (+231.3%)
Product NetsTensorflow implementation of Product-based Neural Networks. An extended version is at https://github.com/Atomu2014/product-nets-distributed.
Stars: ✭ 355 (+170.99%)
Vae cfVariational autoencoders for collaborative filtering
Stars: ✭ 386 (+194.66%)
Sigir2020 peterrecParameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
Stars: ✭ 121 (-7.63%)
SasrecSASRec: Self-Attentive Sequential Recommendation
Stars: ✭ 373 (+184.73%)
RexyFlexible and extendable recommender system based on an abstract User-Product-Tag schema
Stars: ✭ 57 (-56.49%)
RecnnReinforced Recommendation toolkit built around pytorch 1.7
Stars: ✭ 362 (+176.34%)
FastaiR interface to fast.ai
Stars: ✭ 85 (-35.11%)
DeepmatchA deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Stars: ✭ 1,051 (+702.29%)
Winerama Recommender TutorialA wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.
Stars: ✭ 324 (+147.33%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+148.85%)
Seldon ServerMachine Learning Platform and Recommendation Engine built on Kubernetes
Stars: ✭ 1,435 (+995.42%)
Recsys项亮的《推荐系统实践》的代码实现
Stars: ✭ 306 (+133.59%)
Ad PapersPapers on Computational Advertising
Stars: ✭ 3,515 (+2583.21%)
ElasticctrElasticCTR,即飞桨弹性计算推荐系统,是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务,帮助用户在Kubernetes环境中一键完成推荐系统部署,具备高性能、工业级部署、端到端体验的特点,并且作为开源套件,满足二次深度开发的需求。
Stars: ✭ 123 (-6.11%)
KgpolicyReinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
Stars: ✭ 83 (-36.64%)
GluonrankRanking made easy
Stars: ✭ 39 (-70.23%)
DsinCode for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Stars: ✭ 289 (+120.61%)
Recdb PostgresqlRecDB is a recommendation engine built entirely inside PostgreSQL
Stars: ✭ 297 (+126.72%)
MoviePersonalized real-time movie recommendation system
Stars: ✭ 37 (-71.76%)
LibrecLibRec: A Leading Java Library for Recommender Systems, see
Stars: ✭ 3,045 (+2224.43%)
Movielens4 different recommendation engines for the MovieLens dataset.
Stars: ✭ 265 (+102.29%)
GraphmatGraphMat graph analytics framework
Stars: ✭ 81 (-38.17%)
ds3-spring-2018Материалы третьего набора офлайн-программы Data Scientist.
Stars: ✭ 22 (-83.21%)
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Stars: ✭ 954 (+628.24%)
JNSKRThis is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)
Stars: ✭ 25 (-80.92%)
Expo MfExposure Matrix Factorization: modeling user exposure in recommendation
Stars: ✭ 81 (-38.17%)
RecqRecQ: A Python Framework for Recommender Systems (TensorFlow Based)
Stars: ✭ 883 (+574.05%)
SAE-NADThe implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"
Stars: ✭ 48 (-63.36%)
SIGIR2021 ConureOne Person, One Model, One World: Learning Continual User Representation without Forgetting
Stars: ✭ 23 (-82.44%)
Dreamrnn based model for recommendations
Stars: ✭ 77 (-41.22%)
MrsrMRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Stars: ✭ 13 (-90.08%)
multi channel bprImplementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Stars: ✭ 25 (-80.92%)
ML2017FALLMachine Learning (EE 5184) in NTU
Stars: ✭ 66 (-49.62%)
ppreca recommender engine node-js package for general use and easy to integrate.
Stars: ✭ 29 (-77.86%)
MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Stars: ✭ 120 (-8.4%)
CarskitJava-Based Context-aware Recommendation Library
Stars: ✭ 98 (-25.19%)
Letterboxd recommendationsScraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username
Stars: ✭ 23 (-82.44%)
AMRThis 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.
Stars: ✭ 30 (-77.1%)
Fastfm fastFM: A Library for Factorization Machines
Stars: ✭ 908 (+593.13%)