150 skills found · Page 4 of 5
qf6101 / Multinomial Factorization MachinesMultinomial Factorization Machines
yym-ustc / FactorizationMachineimplementation of factorization machine, support classification.
elibol / AmleExperiment code for "Probabilistic Matrix Factorization for Automated Machine Learning"
benedekrozemberczki / FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
kevin-luc / MFM MTMVMultilinear Factorization Machines for multi-task multi-view learning
cnfsll / Neural Factorization MachineFactorization Machine, Deep Learning, Recommender System
buptjz / Factorization MachineNo description available
fajieyuan / CIKM2016 LambdaFMLambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates
gennadylaptev / FM In PyTorchMy implementation of Factorization Machine in PyTorch.
Ethan-TZ / DAGFM[WSDM 2023] This is the official PyTorch implementation for the paper: "Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation"
cemoody / VfmVariational Factorization Machines
nmwalsh / Sagemaker Rec DemoRecommendation engine example notebook using Amazon SageMaker and Factorization Machines
SmartTensors / NMFk.jlNonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
yongqyu / DeepFM Tf2DeepFM: A Factorization-Machine based Neural Network for CTR Prediction / xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
rakesh-chinta / Advanced Factorization Of Machine SystemsGSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
guokr / TorchCTRCTR Prediction on PyTorch
dougkelly / TopicModeling HilaryClintonEmailsGalvanizeU Machine Learning & Natural Language Processing Final Project. Explored topic modeling approaches in Python to summarize emails by latent foreign policy topics using Non-Negative Matrix Factorization and LDA approaches in Sklearn
cxsmarkchan / RaFMAn implementation of RaFM. Xiaoshuang Chen, Yin Zheng, Jiaxiang Wang, et al. "RaFM: Rank-Aware Factorization Machines"
neonnnnn / Nimfmnimfm: A library for factorization machines in Nim
btwardow / FactorizationMachines.jlFactorization Machines for Julia
