150 skills found · Page 1 of 5
aksnzhy / XlearnHigh performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
ChenglongChen / Tensorflow DeepFMTensorflow implementation of DeepFM for CTR prediction.
ZiyaoGeng / RecLearnRecommender Learning with Tensorflow2.x
ycjuan / LibffmA Library for Field-aware Factorization Machines
srendle / LibfmLibrary for factorization machines
cheungdaven / DeepRecAn Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
ibayer / FastFMfastFM: A Library for Factorization Machines
rixwew / Pytorch FmFactorization Machine models in PyTorch
qiaoguan / Deep Ctr PredictionCTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
coreylynch / PyFMFactorization machines in python
CastellanZhang / AlphaFMMulti-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
geffy / TffmTensorFlow implementation of an arbitrary order Factorization Machine
hexiangnan / Neural Factorization MachineTenforFlow Implementation of Neural Factorization Machine
hexiangnan / Attentional Factorization MachineTensorFlow Implementation of Attentional Factorization Machine
kanyun-inc / Ytk LearnYtk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).
dmlc / DifactoDistributed Factorization Machines
je-suis-tm / Machine LearningPython machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
comadan / FM FTRLHashed Factorization Machine with Follow The Regularized Leader for Kaggle Avazu Click-Through Rate Competition
jfloff / PywFMpywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
zhengruifeng / Spark LibFMAn implement of Factorization Machines (LibFM)
