”ctr-models“ 的搜索结果

#计算机科学#Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

翻译 - 基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。

#计算机科学#【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

翻译 - 【PyTorch】基于深度学习的CTR模型的易于使用，模块化和可扩展的软件包。

CTR prediction model based on spark(LR, GBDT, DNN)

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Deep-Learning based CTR models implemented by PyTorch

Large batch training of CTR models based on DeepCTR with CowClip.

CTR prediction models based on spark(LR，FM、XGBoost、XGBoostLR、XGBoostFM)

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.

This repo includes some graph-based CTR prediction models and other representative baselines.

Tensorflow implementation of DeepFM for CTR prediction.

CTR模型代码和学习笔记总结

CTR prediction using FM FFM and DeepFM

Nintendo 3DS (CTR) Tools & stuff

Criteo/Kaggle Competition of CTR prediction

TensorFlow 构建的模型和示例

Tools for the Nintendo 3DS

A PyTorch implementation of DeepFM for CTR prediction problem.

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

a python code of applying GBDT+LR for CTR prediction

Game Boy: Complete Technical Reference

Byte-oriented AES-256 in CTR mode

Fast CTR DRBG for x86 platforms.