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ai-recommendersystem

该仓库尝试整理推荐系统领域的一些经典算法模型

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

causallift

CausalLift: Python package for causality-based Uplift Modeling in real-world business

causalml

Uplift modeling and causal inference with machine learning algorithms

cqr

Conformalized Quantile Regression

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

fun-rec

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

gitskills

hello-word

Hello World Test

learngit

2020.4.24

leetcode-go

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

leetcode_101

LeetCode 101：和你一起你轻松刷题（C++）

predicting-used-car-prices

阿里天池与Datawhale联合举办二手车价格预测比赛：第十三名方案代码总结

recbole

A unified, comprehensive and efficient recommendation library

recsystem-pytorch

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.