Content-based-Recommender-SystemIt is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
Stars: ✭ 64 (+113.33%)
matrix-completionLightweight Python library for in-memory matrix completion.
Stars: ✭ 94 (+213.33%)
oboeAn AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
Stars: ✭ 76 (+153.33%)
NeuralCitationNetworkNeural Citation Network for Context-Aware Citation Recommendation (SIGIR 2017)
Stars: ✭ 24 (-20%)
EATNNThis is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)
Stars: ✭ 23 (-23.33%)
KaggleKaggle Kernels (Python, R, Jupyter Notebooks)
Stars: ✭ 26 (-13.33%)
RecommendationsystemBook recommender system using collaborative filtering based on Spark
Stars: ✭ 244 (+713.33%)
SAMNThis is our implementation of SAMN: Social Attentional Memory Network
Stars: ✭ 45 (+50%)
RecommenderA C library for product recommendations/suggestions using collaborative filtering (CF)
Stars: ✭ 238 (+693.33%)
KG4RecKnowledge-aware recommendation papers.
Stars: ✭ 76 (+153.33%)
TutorialsAI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Stars: ✭ 204 (+580%)
LR-GCCFRevisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Stars: ✭ 99 (+230%)
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (+1583.33%)
BASBAS R package https://merliseclyde.github.io/BAS/
Stars: ✭ 36 (+20%)
mljar-api-RR wrapper for MLJAR API
Stars: ✭ 16 (-46.67%)
rs datasetsTool for autodownloading recommendation systems datasets
Stars: ✭ 22 (-26.67%)
RecotourA tour through recommendation algorithms in python [IN PROGRESS]
Stars: ✭ 140 (+366.67%)
Course-Recommendation-SystemA system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Stars: ✭ 14 (-53.33%)
MoHRMoHR: Recommendation Through Mixtures of Heterogeneous Item Relationships
Stars: ✭ 51 (+70%)
recsys2019The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Stars: ✭ 26 (-13.33%)
FashionShopAppFashion Shop App : Flask, ChatterBot, ElasticSearch, Recommender-System
Stars: ✭ 28 (-6.67%)
DeeprecommenderDeep learning for recommender systems
Stars: ✭ 1,593 (+5210%)
MetarecPyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models (IN PROGRESS)
Stars: ✭ 120 (+300%)
chainRecMengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.
Stars: ✭ 52 (+73.33%)
RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
Stars: ✭ 23 (-23.33%)
retailbox🛍️RetailBox - eCommerce Recommender System using Machine Learning
Stars: ✭ 32 (+6.67%)
DeepicfTensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
Stars: ✭ 86 (+186.67%)
YueA python library for music recommendation
Stars: ✭ 88 (+193.33%)
adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
Stars: ✭ 110 (+266.67%)
NDDDrug-Drug Interaction Predicting by Neural Network Using Integrated Similarity
Stars: ✭ 25 (-16.67%)
FastaiR interface to fast.ai
Stars: ✭ 85 (+183.33%)
GraphmatGraphMat graph analytics framework
Stars: ✭ 81 (+170%)
RecommendPython 3.6 下的推荐算法解析,尽量使用简单的语言剖析原理,相似度度量、协同过滤、矩阵分解等
Stars: ✭ 72 (+140%)
recsim ngRecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
Stars: ✭ 106 (+253.33%)
MixGCFMixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
Stars: ✭ 73 (+143.33%)
Cmfrec(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Stars: ✭ 63 (+110%)
solar-forecasting-RNNMulti-time-horizon solar forecasting using recurrent neural network
Stars: ✭ 29 (-3.33%)
RecoSysRecommend system learning resources and learning notes
Stars: ✭ 49 (+63.33%)
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 (+3403.33%)
Tf-RecTf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.
Stars: ✭ 18 (-40%)
timemachinesPredict time-series with one line of code.
Stars: ✭ 342 (+1040%)
GluonrankRanking made easy
Stars: ✭ 39 (+30%)
MoviePersonalized real-time movie recommendation system
Stars: ✭ 37 (+23.33%)
DeeprecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Stars: ✭ 954 (+3080%)
Causal Reading GroupWe 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.
Stars: ✭ 339 (+1030%)