nfm

There are 21 repositories under nfm topic.

  • DeepCTR

    shenweichen/DeepCTR

    Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

    Language:Python7.9k1763742.2k
  • ZiyaoGeng/RecLearn

    Recommender Learning with Tensorflow2.x

    Language:Python2k3582501
  • rixwew/pytorch-fm

    Factorization Machine models in PyTorch

    Language:Python1.1k1738231
  • huangjunheng/recommendation_model

    练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

    Language:Python64547128
  • 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:Python550121084
  • DSXiangLi/CTR

    CTR模型代码和学习笔记总结

    Language:Python39381197
  • sisinflab/elliot

    Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

    Language:Python291122551
  • tangxyw/RecAlgorithm

    主流推荐系统Rank算法的实现

    Language:Python2639357
  • QikaiXu/Recommender-System-Pytorch

    基于 Pytorch 实现推荐系统相关的算法

    Language:Jupyter Notebook1823230
  • Hirosora/LightCTR

    LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.

    Language:Python1036427
  • shawroad/DeepCTR-pytorch

    Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

    Language:Python673120
  • guoyang9/NFM-pyorch

    A pytorch implementation for He et al. Neural Factorization Machines for Sparse Predictive Analytics on SIGIR 2017.

    Language:Python381412
  • TIXhjq/ML_Function

    一些CTR模型和常见特征工程的方法

    Language:Python26109
  • HanpyBin/recommendation-system-model

    Implementation with Pytorch of DeepCrossing, DeepFM,NFM,Wide&Deep

    Language:Python25133
  • End-the-cold-night/deeprec

    A easy library for recommendation system or computational advertising

    Language:Python22108
  • TOMMY

    Top-Models/TOMMY

    TOMMY is een topic modelling applicatie die ontwikkeld is door studenten van de Universiteit Utrecht in opdracht van EMMA. Voor het uitvoeren van topic modelling wordt het achterliggende Latent Dirichlet Allocation (LDA) algoritme of Non-Negative Matrix Factorization (NMF) algoritme uitgevoerd op de door de gebruiker aangeleverde bestanden.

    Language:Python4000
  • jisilvia/Wine_Quality_Analysis

    Several wines are analyzed in order to gain insights on what features affect a wine's rating using logistic regressions models, kNN algorithms, topic modeling, LDA, and Gensim models.

    Language:Jupyter Notebook1100
  • peads/demodulator

    Yet another FM demodulator as a way for me to spend (i.e. waste) my spare time playing with different ways to learn DSP.

    Language:C0201
  • viktorseidl/NFM_Protocol

    This Repo contains all NFM SmartContracts

    Language:Solidity0101
  • anthonychristian1997/LDA-LSA-NMF-PYTHON-TopicModeling-Project2-

    In this repository, I use the SKLearn library to do topic modeling.

    Language:Jupyter Notebook10
  • chrisdoherty4/nfa

    Nondeterministic Finite Automaton / Nondeterministic Finite-state Machine

    Language:Go20