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计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
A PyTorch Library for Multi-Task Learning
[AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".
ssh protocol based deployment tools with pure java implements
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.
Tutorials and implementations for "Self-normalizing networks"
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
Next generation of automated data exploratory analysis and visualization platform.
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
a python code of applying GBDT+LR for CTR prediction
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Code for Tensorflow Machine Learning Cookbook
TensorFlow Tutorials with YouTube Videos
Simple tutorials using Google's TensorFlow Framework
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！
[NAACL 2021] A Frustratingly Easy Approach for Entity and Relation Extraction https://arxiv.org/abs/2010.12812