Stars
MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.
计算广告召回&模型&创意算法(A collection of research and application papers about Match, Ranking, Targeting and Creatives in Internet advertising.)
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C ,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
tensorflow实战练习,包括强化学习、推荐系统、nlp等
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A collection of research and application papers of (uncertainty) calibration techniques.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
本项目曾冲到全球第一,干货集锦见本页面最底部,另完整精致的纸质版《编程之法:面试和算法心得》已在京东/当当上销售
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An open source python library for automated feature engineering
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
Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com