一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM,xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)

Overview

CTR Algorithm

根据论文, 博客, 知乎等方式学习一些CTR相关的算法
理解原理并自己动手来实现一遍
pytorch & tf2.0
保持一颗学徒的心!

Schedule

Model pytorch tensorflow2.0 paper
LR ✔️ ✔️ \
FM ✔️ ✔️ Factorization Machines, 2010.
FFM ✔️ ✔️ Field-aware Factorization Machines for CTR Prediction, 2015.
AFM ✔️ ✔️ Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks, 2017.
DeepFM ✔️ ✔️ DeepFM: A Factorization-Machine based Neural Network for CTR Prediction, 2017.
PNN ✔️ ✔️ Product-based Neural Networks for User Response Prediction, 2016.
XDeepFM ✔️ ✔️ xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems, 2018.
DCN ✔️ ✔️ Deep & Cross Network for Ad Click Predictions, 2017.
AutoInt ✔️ ✔️ AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks, 2018.
DIN ✔️ ✔️ Deep Interest Network for Click-Through Rate Prediction,2018
DIEN ✔️ ✔️ Deep Interest Evolution Network for Click-Through Rate Prediction,2019
FiBiNET ✔️ ✔️ FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction,2019
DCN-V2 ✔️ ✔️ Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems,2020
DIFM ✔️ ✔️ A Dual Input-aware Factorization Machine for CTR Prediction,2020
AFN ✔️ ✔️ Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions,2020
ONN ✔️ ✔️ Operation-aware Neural Networks for User Response Prediction,2019
Owner
luo han
ML & data mining & computational advertising & recommendation & bioinformatics. Now working on advertising and recommendations
luo han
Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the Machine Learning 4 Health Workshop

Detection-aided liver lesion segmentation Here we present the implementation in TensorFlow of our work about liver lesion segmentation accepted in the

Image Processing Group - BarcelonaTECH - UPC 96 Oct 26, 2022
A Flow-based Generative Network for Speech Synthesis

WaveGlow: a Flow-based Generative Network for Speech Synthesis Ryan Prenger, Rafael Valle, and Bryan Catanzaro In our recent paper, we propose WaveGlo

NVIDIA Corporation 2k Dec 26, 2022
This repo contains the implementation of YOLOv2 in Keras with Tensorflow backend.

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Huynh Ngoc Anh 1.7k Dec 24, 2022
Open AI's Python library

OpenAI Python Library The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language. It incl

Pavan Ananth Sharma 3 Jul 10, 2022
repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments

repro_eval repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments. The measures were d

IR Group at Technische Hochschule Köln 9 May 25, 2022
U^2-Net - Portrait matting This repository explores possibilities of using the original u^2-net model for portrait matting.

U^2-Net - Portrait matting This repository explores possibilities of using the original u^2-net model for portrait matting.

Dennis Bappert 104 Nov 25, 2022
System Combination for Grammatical Error Correction Based on Integer Programming

System Combination for Grammatical Error Correction Based on Integer Programming This repository contains the code and scripts that implement the syst

NUS NLP Group 0 Mar 29, 2022
Benchmarks for Model-Based Optimization

Design-Bench Design-Bench is a benchmarking framework for solving automatic design problems that involve choosing an input that maximizes a black-box

Brandon Trabucco 43 Dec 20, 2022
An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

OptiCL OptiCL is an end-to-end framework for mixed-integer optimization (MIO) with data-driven learned constraints. We address a problem setting in wh

Holly Wiberg 57 Dec 26, 2022
Python parser for DTED data.

DTED Parser This is a package written in pure python (with help from numpy) to parse and investigate Digital Terrain Elevation Data (DTED) files. This

Ben Bonenfant 12 Dec 18, 2022
Code repo for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper.

InterpretableMDE A PyTorch implementation for "Towards Interpretable Deep Networks for Monocular Depth Estimation" paper. arXiv link: https://arxiv.or

Zunzhi You 16 Aug 12, 2022
AITUS - An atomatic notr maker for CYTUS

AITUS an automatic note maker for CYTUS. 利用AI根据指定乐曲生成CYTUS游戏谱面。 效果展示:https://www

GradiusTwinbee 6 Feb 24, 2022
Real time Human Detection Counting

In this python project, we are going to build the Human Detection and Counting System through Webcam or you can give your own video or images. This is a deep learning project on computer vision, whic

Mir Nawaz Ahmad 2 Jun 17, 2022
Speeding-Up Back-Propagation in DNN: Approximate Outer Product with Memory

Approximate Outer Product Gradient Descent with Memory Code for the numerical experiment of the paper Speeding-Up Back-Propagation in DNN: Approximate

2 Mar 02, 2022
Contrastive Learning for Compact Single Image Dehazing, CVPR2021

AECR-Net Contrastive Learning for Compact Single Image Dehazing, CVPR2021. Official Pytorch based implementation. Paper arxiv Pytorch Version TODO: mo

glassy 253 Jan 01, 2023
Yolact-keras实例分割模型在keras当中的实现

Yolact-keras实例分割模型在keras当中的实现 目录 性能情况 Performance 所需环境 Environment 文件下载 Download 训练步骤 How2train 预测步骤 How2predict 评估步骤 How2eval 参考资料 Reference 性能情况 训练数

Bubbliiiing 11 Dec 26, 2022
How to Train a GAN? Tips and tricks to make GANs work

(this list is no longer maintained, and I am not sure how relevant it is in 2020) How to Train a GAN? Tips and tricks to make GANs work While research

Soumith Chintala 10.8k Dec 31, 2022
Optimizes image files by converting them to webp while also updating all references.

About Optimizes images by (re-)saving them as webp. For every file it replaced it automatically updates all references. Works on single files as well

Watermelon Wolverine 18 Dec 23, 2022
DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations

DSTC10 Track 2 - Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations This repository contains the data, scripts and baseline co

Alexa 51 Dec 17, 2022
The BCNet related data and inference model.

BCNet This repository includes the some source code and related dataset of paper BCNet: Learning Body and Cloth Shape from A Single Image, ECCV 2020,

81 Dec 12, 2022