wyf1995

EasyTemporalPointProcess

EasyTPP: Towards Open Benchmarking Temporal Point Processes

RecommenderSystem

esmm_mmoe_deepfm

基于ESMM、MMoE和deepFM的多目标模型

machine-learning-notes

This is the notes of the way of machine learning study. You may find something useful in it.

Algorithm-Practice-in-Industry

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）

acerta-abide

Deep learning using the ABIDE data

causalml

Uplift modeling and causal inference with machine learning algorithms

keras-mmoe

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

WeChat_Big_Data_Challenge_DeepCTR_baseline

Time-Series-Library

A Library for Advanced Deep Time Series Models.

python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

RedPajama-Data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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！

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

TensorFlow_Practice

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

AlgoNotes

【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

SummaryOfLoanSuspension

全国各省市停贷通知汇总

x-deeplearning

An industrial deep learning framework for high-dimension sparse data

leetcode-editor

Do Leetcode exercises in IDE, support leetcode.com and leetcode-cn.com, to meet the basic needs of doing exercises.Support theoretically: IntelliJ IDEA PhpStorm WebStorm PyCharm RubyMine AppCode CLion GoLand DataGrip Rider MPS Android Studio

EGES

deep_ctr

EasyRec

A framework for large scale recommendation algorithms.

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

esmm

ctr、cvr预估

multi-task-learning

TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

AIMAFE

reverse-interview-zh

技术面试最后反问面试官的话

recommenders

Best Practices on Recommendation Systems

LeetCode

LeetCode刷题记录与面试整理