ffm
There are 1 repository under ffm topic.
- DeepCTR
shenweichen / DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Language:Python 7607 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++ 3087- Language:Python 1869
rixwew / pytorch-fm
Factorization Machine models in PyTorch
Language:Python 1038jc-LeeHub / Recommend-System-tf2.0
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
Language:Python 661- Language:Python 380
JianzhouZhan / Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
Language:Python 257JsonChao / Awesome-Android-NDK
:fire: 全面深入地掌握NDK技术，成为下一波5G时代的浪潮儿~
tangxyw / RecAlgorithm
主流推荐系统Rank算法的实现
Language:Python 203QikaiXu / Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
Language:Jupyter Notebook 165VinceShieh / spark-ffm
FFM (Field-Awared Factorization Machine) on Spark
Language:Scala 105- Language:Python 72
qian135 / ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
Language:Jupyter Notebook 70- Language:Python 66
- Language:Python 48
massquantity / Ftrl-FFM
Field-aware factorization machine (FFM) with FTRL
Language:C++ 43shibing624 / rater
rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。
Language:Python 42coralblocks / CoralCpp
Call Java from C++ and C++ from Java with a variety of old and new projects like JNI, JNA, JNR, FFM, JExtract, GraalVM, JNI-Bind, etc.
Language:C++ 32lopcode / vips-ffm
libvips bindings for Java, Kotlin, and JVM projects using the Foreign Function and Memory API (FFM)
Language:Java 30End-the-cold-night / deeprec
A easy library for recommendation system or computational advertising
Language:Python 22YasPHP / The-Five-Factor-Personality-Test
Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).
Language:Jupyter Notebook 15aldente0630 / ctr_prediction
Experiment results using FM, FFM and DeepFM algorithms in Criteo Display Advertising Challenge(https://www.kaggle.com/c/criteo-display-ad-challenge) dataset
Language:Jupyter Notebook 13collab-uniba / personality
Apache developers Big-Five personality profiler
Language:Python 9aploese / jnhw
JNI Header Wrapper a lightwight alternative to JNA or JNR (V 4.0.0-SNAPSHOT in branch FFM uses JEP 454: Foreign Function & Memory API)
Language:Java 3- Language:Jupyter Notebook 3
- Language:Python 3
etveritas / 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++ 2FDoKE / opengl-ffm
Example of direct usage of opengl and glfw (without JNI) with java 18 Foreign Function & Memory API (FFM API)
Language:Java 1- Language:Visual Basic 1
- Language:C++ 1
- Language:Python 1
- Language:JavaScript 0
infolektuell / gradle-jextract
Gradle plugin that generates Java bindings from native library headers using Jextract
Language:Kotlin 0andreasbrett / FalschparkmelderFFM
Parksünder in Frankfurt/Main schnell und einfach melden
Language:PowerShell- Language:C++
