ffm
There are 40 repositories under ffm topic.
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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.
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
rixwew/pytorch-fm
Factorization Machine models in PyTorch
jc-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！
DSXiangLi/CTR
CTR模型代码和学习笔记总结
tangxyw/RecAlgorithm
主流推荐系统Rank算法的实现
JianzhouZhan/Awesome-RecSystem-Models
Implements of Awesome RecSystem Models with PyTorch/TF2.0
JsonChao/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~
QikaiXu/Recommender-System-Pytorch
基于 Pytorch 实现推荐系统相关的算法
VinceShieh/spark-ffm
FFM (Field-Awared Factorization Machine) on Spark
lopcode/vips-ffm
Fast, safe, complete libvips bindings for image processing in Java / JVM projects
Hourout/CTR-keras
Tensorflow2.x implementations of CTR（LR、FM、FFM)
qian135/ctr_model_zoo
some ctr model, implemented by PyTorch, such as Factorization Machines, Field-aware Factorization Machines, DeepFM, xDeepFM, Deep Interest Network
keyunluo/python-ffm
Python Wrapped LibFFM
massquantity/Ftrl-FFM
Field-aware factorization machine (FFM) with FTRL
olvb/pyheal
Pure Python implementation of Telea FMM inpainting
shibing624/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。
coralblocks/CoralCpp
Call Java from C++ and C++ from Java with a variety of old and new projects like JNI, JNA, JNR, FFM, JExtract, BridJ, GraalVM, JNI-Bind, etc.
End-the-cold-night/deeprec
A easy library for recommendation system or computational advertising
YasPHP/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).
bits-bytes-nn/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
collab-uniba/personality
Apache developers Big-Five personality profiler
aploese/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)
duoan/kaggle_criteo_ctr_challenge
kaggle criteo ctr challenge
fly12357/CTR_Xlearn
使用python, Loads Xlearn产出的txt模型
infolektuell/gradle-jextract
Gradle plugin that generates Java bindings from native library headers using Jextract
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.
Enaium/ffm_sdl
This is a simple example that shows how to use the SDL library by Foreign Function & Memory API (FFM API) in a Java program
Enaium/java-all-in-native
This project is a Java application that uses native code to perform some operations.
FDoKE/opengl-ffm
Example of direct usage of opengl and glfw (without JNI) with java 18 Foreign Function & Memory API (FFM API)
Lovsan/Ruutu-Downloader
Ruutu + Downloader
memsim/MemSim
Memory functional fault simulator
youssefhoummad/mp4_to_m3u8
convert video .mp4 to playlist.m3u8
NguyenThanhTrung86/java-all-in-native
This project is a Java application that uses native code to perform some operations.