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

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

Big Data Analytics project on algebraic SVD, Surprise SVD, Surprise NMF, latent user similarity, and recommender system poisoning attacks.

This Repo contains all NFM SmartContracts

Need for Madness 3

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.

Nondeterministic Finite Automaton / Nondeterministic Finite-state Machine

Patch repository for NfmM DS-addons

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.

A easy library for recommendation system or computational advertising

一些CTR模型和常见特征工程的方法

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

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

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

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

基于 Pytorch 实现推荐系统相关的算法

主流推荐系统Rank算法的实现

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

CTR模型代码和学习笔记总结

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)