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Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Must-read papers and resources related to causal inference and machine (deep) learning
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
An index of algorithms for learning causality with data
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
Next Generation of ShadowsocksX
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
Our solutions for KDDCup2019 as team "admin"
TensorFlow - A curated list of dedicated resources http://tensorflow.org
Classic papers and resources on recommendation
(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发与系统设计。准备后端技术面试，首选 JavaGuide！
An industrial deep learning framework for high-dimension sparse data
955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
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
Best Practices on Recommendation Systems
Integration of TensorFlow with other open-source frameworks
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06