Topic: "factorization-machines"
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Language: Python - Size: 7.33 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 7,775 - Forks: 2,227
aksnzhy/xlearn
High 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.
Language: C++ - Size: 10.7 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 3,091 - Forks: 518
shenweichen/DeepMatch
A 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.
Language: Python - Size: 1.34 MB - Last synced at: 14 days ago - Pushed at: 12 months ago - Stars: 2,320 - Forks: 539
ibayer/fastFM
fastFM: A Library for Factorization Machines
Language: Python - Size: 4.66 MB - Last synced at: about 1 month ago - Pushed at: almost 3 years ago - Stars: 1,082 - Forks: 206
rixwew/pytorch-fm
Factorization Machine models in PyTorch
Language: Python - Size: 5.57 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 1,057 - Forks: 227
geffy/tffm
TensorFlow implementation of an arbitrary order Factorization Machine
Language: Jupyter Notebook - Size: 450 KB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 783 - Forks: 175
DataCanvasIO/DeepTables
DeepTables: Deep-learning Toolkit for Tabular data
Language: Python - Size: 5.75 MB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 678 - Forks: 120
cnkuangshi/LightCTR
Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.
Language: C++ - Size: 9.41 MB - Last synced at: 9 months ago - Pushed at: almost 6 years ago - Stars: 674 - Forks: 142
AmazingDD/daisyRec
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Language: Python - Size: 12.8 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 551 - Forks: 84
hexiangnan/neural_factorization_machine
TenforFlow Implementation of Neural Factorization Machine
Language: Python - Size: 19.6 MB - Last synced at: 20 days ago - Pushed at: about 5 years ago - Stars: 470 - Forks: 185
hexiangnan/attentional_factorization_machine
TensorFlow Implementation of Attentional Factorization Machine
Language: Python - Size: 19.6 MB - Last synced at: 19 days ago - Pushed at: almost 7 years ago - Stars: 406 - Forks: 154
Leavingseason/OpenLearning4DeepRecsys
Some deep learning based recsys for open learning.
Language: Python - Size: 16 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 397 - Forks: 153
kanyun-inc/ytk-learn
Ytk-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).
Language: Java - Size: 804 KB - Last synced at: 19 days ago - Pushed at: almost 3 years ago - Stars: 348 - Forks: 76
ChenglongChen/tensorflow-XNN
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Language: Python - Size: 1.07 MB - Last synced at: 22 days ago - Pushed at: almost 7 years ago - Stars: 283 - Forks: 76
scikit-learn-contrib/polylearn 📦
A library for factorization machines and polynomial networks for classification and regression in Python.
Language: Python - Size: 3.16 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 245 - Forks: 43
USTCLLM/RecStudio
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
Language: Python - Size: 2.66 MB - Last synced at: 13 days ago - Pushed at: 2 months ago - Stars: 184 - Forks: 23
dselivanov/rsparse
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Language: R - Size: 1.09 MB - Last synced at: about 8 hours ago - Pushed at: 2 months ago - Stars: 175 - Forks: 31
etlundquist/rankfm
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Language: Python - Size: 2.15 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 173 - Forks: 37
outbrain-inc/fwumious_wabbit
Fwumious Wabbit, fast on-line machine learning toolkit written in Rust
Language: Rust - Size: 4.4 MB - Last synced at: 20 days ago - Pushed at: 10 months ago - Stars: 137 - Forks: 19
HKUST-KnowComp/FMG
KDD17_FMG
Language: MATLAB - Size: 64.4 MB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 137 - Forks: 55
jilljenn/ktm
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 134 - Forks: 34
takuti/flurs
:ocean: FluRS: A Python library for streaming recommendation algorithms
Language: Python - Size: 616 KB - Last synced at: 3 days ago - Pushed at: about 3 years ago - Stars: 109 - Forks: 17
charleshm/deep-ctr
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 92 - Forks: 24
hibayesian/spark-fm
A parallel implementation of factorization machines based on Spark
Language: Scala - Size: 434 KB - Last synced at: 17 days ago - Pushed at: almost 5 years ago - Stars: 73 - Forks: 31
xiaogp/customer_churn_prediction
零售电商客户流失模型，基于tensorflow，xgboost4j-spark，spark-ml实现LR，FM，GBDT，RF，进行模型效果对比，离线/在线部署方式总结
Language: Python - Size: 205 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 58 - Forks: 17
tohtsky/myFM
A Python/C++ implementation of Bayesian Factorization Machines
Language: C++ - Size: 1.42 MB - Last synced at: 8 days ago - Pushed at: 8 months ago - Stars: 55 - Forks: 14
mayukh18/reco
a simple yet versatile recommendation systems library in python
Language: Python - Size: 8.44 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 54 - Forks: 20
takuti/Recommendation.jl
Building recommender systems in Julia
Language: TeX - Size: 3.12 MB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 49 - Forks: 10
cnfsll/Attentional-Neural-Factorization-Machine
Attention,Factorization Machine, Deep Learning, Recommender System
Language: Python - Size: 21.5 KB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 39 - Forks: 16
LitoWang/recommendation_papers
paper collection for recommendation aspet
Size: 495 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 16
endymecy/AlgorithmsOnSpark
Some popular algorithms(dbscan,knn,fm etc.) on spark
Language: Scala - Size: 123 KB - Last synced at: 6 days ago - Pushed at: almost 7 years ago - Stars: 32 - Forks: 16
dstein64/pyfms 📦
A Theano-based Python implementation of Factorization Machines (Rendle 2010).
Language: Python - Size: 79.1 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 7
asmitapoddar/nowplaying-RS-Music-Reco-FM
#nowplaying-RS: Music Recommendation using Factorization Machines
Language: R - Size: 40 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 27 - Forks: 6
aerdem4/mercari-price-suggestion
Solution to Kaggle's Mercari Price Suggestion Competition
Language: Python - Size: 7.81 KB - Last synced at: 23 days ago - Pushed at: about 7 years ago - Stars: 22 - Forks: 7
sverma88/DeepCU-IJCAI19
DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19
Language: Python - Size: 36.7 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 8
xiecong/Simple-Implementation-of-ML-Algorithms
My simplest implementations of common ML algorithms
Language: Python - Size: 25.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 10
myui/rtrec
An realtime recommendation system supporting online updates
Language: Python - Size: 416 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 16 - Forks: 0
iFe1er/AlitaNet
AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, DeepFM, xDeepFM, AutoInt, FiBiNet, LS-PLM, DCN, etc.
Language: Python - Size: 9.64 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 13 - Forks: 4
neonnnnn/nimfm
nimfm: A library for factorization machines in Nim
Language: Nim - Size: 379 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 11 - Forks: 0
jefkine/white-papers
Technical writings on Deep Learning
Size: 4.87 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 9 - Forks: 0
dselivanov/FM
Fast Factorization Machines
Language: C++ - Size: 18.6 KB - Last synced at: about 8 hours ago - Pushed at: about 7 years ago - Stars: 9 - Forks: 2
lisiqi/thesis-recommenders
Code of my master thesis "Implicit Feedback Based Context-Aware Recommender For Music Light System"
Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 0
takuti/criteo-ffm
Running field-aware factorization machines on the Criteo data
Language: C++ - Size: 424 KB - Last synced at: 10 days ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 1
chezou/amazon-movie-review
Recommendation for Amazon movie review data
Language: Python - Size: 20.5 KB - Last synced at: 11 days ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 7
evanwang1990/FMwR
FMwR: A Library of Factorization Machines in R Based on libfm
Language: C - Size: 547 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 7 - Forks: 3
liveopp/FM
Factorization Machine on spark
Language: Scala - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 6 - Forks: 6
chankh/sagemaker-fm-movielens
Building a movie recommender system with factorization machines on Amazon SageMaker.
Language: Jupyter Notebook - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 4
EthanRosenthal/newtonfm
Factorization Machines with Newton's Method
Language: Python - Size: 19.5 KB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 5 - Forks: 1
Luyabs/literary-works-recommendation-algorithm
基于混合推荐算法的文学作品推荐系统-算法后端
Language: Python - Size: 24.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0
pochih/RecSys
Paper Review of Recommender Systems
Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 4 - Forks: 0
davideanastasia/vantgrd-py
Vantgrd for Python: simple implementation of widely used Machine Learning algorithms
Language: Jupyter Notebook - Size: 361 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1
adrtod/rfastfm
R interface to the fastFM library
Language: R - Size: 450 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 3 - Forks: 1
jilljenn/vae
Variational Factorization Machines in TensorFlow and PyTorch
Language: Python - Size: 311 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
izuna385/fm-papers
Notes on papers related to factorization machines
Size: 0 Bytes - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
Prasham8897/Rec_Sys_Yelp_Businesses
Restaurant Recommendation Systems based on the Yelp dataset (2019) using Ensemble method based on Images and text from reviews.
Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
DanielMorales9/tfdiv
A Tensorflow implementation of Factorization Machines
Language: Python - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1
rezacsedu/Predictive-Analytics-with-TensorFlow Fork of PacktPublishing/Predictive-Analytics-with-TensorFlow
Predictive Analytics with TensorFlow, published by Packt
Language: Python - Size: 22.2 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1
garethjns/TF2FactorizationMachine
Factorization machine implemented in TensorFlow 2
Language: Python - Size: 2.13 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
farouqzaib/Personify
Personalization System
Language: Python - Size: 3.53 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1
karunru/ConvexFactorizationMachines.jl
Julia wrapper for pyCFM(Convex Factorization Machines)
Language: Julia - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
shubhankar90/custom-ml-implementaion
Code store for custom implementation of some machine learning algorithms from scratch.
Language: Python - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
maxuewei2/FlatCTR
A high-performance toolkit for LR/FM training on large-scale sparse data.
Language: C++ - Size: 340 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
olekssy/impression
A library of recommender systems with collaborative, content-based filtering, and hybrid models.
Language: Python - Size: 47.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ash-0521/Ensuring-Smiles-using-Spark-ML
The primary objective of this study is to explore the feasibility of using machine learning algorithms to classify health insurance plans based on their coverage for routine dental services. To achieve this, I used six different classification algorithms: LR, DT, RF, GBT, SVM, FM(Tech: PySpark, SQL, Databricks, Zeppelin books, Hadoop, Spark-Submit)
Language: Python - Size: 15.4 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
Raghul-G2002/Recommendation-System-AWS-Factorization-Machines
Recommendation System using Factorization Machines - AWS SageMaker NoteBook Instance
Language: Jupyter Notebook - Size: 5.67 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
breathingcyborg/practical-aspects-of-recommendar-systems
Language: Jupyter Notebook - Size: 661 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
peggy1502/FM-Recommender-Engine
Build a Recommender Engine using Amazon SageMaker Factorization Machines
Language: Jupyter Notebook - Size: 25.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
SakigamiYang/holographic-factorization-machine
An implementation for https://ojs.aaai.org/index.php/AAAI/article/view/4448
Language: Python - Size: 20.5 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
guoyang9/GML-FM
Official implementation for our TKDE paper.
Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 3
lalkakonus/ml-hw3
Language: Python - Size: 533 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
Rayraegah/recsys
Recommendation system using factorization machine
Language: Python - Size: 32.2 KB - Last synced at: 23 days ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 1
