Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our p…

This repository collects debiasing methods for recommendation

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Crack LeetCode, not only how, but also why.

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

算法工程师面试题整理

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

A Java package to automatically detect anomalies in large scale time-series data

The Paxos library implemented in C++ that has been used in the WeChat production environment.

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

A complete computer science study plan to become a software engineer.

Oxford Deep NLP 2017 course

This is the code for "How to Do Math Easily - Intro to Deep Learning #4' by Siraj Raval on YouTube

MPI programming lessons in C and executable code examples

Script for showing current Git branch in Tmux status bar

Robust Distributed System Nucleus (rDSN) is an open framework for quickly building and managing high performance and robust distributed systems.

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

📚 Freely available programming books

nForum is a bbs based on kbs