aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A unified, comprehensive and efficient recommendation library

An implementation of a deep learning recommendation model (DLRM)

Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

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…

收藏一些电子书

Offline evaluation of multi-armed bandit algorithms

Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset

Grokking the system design interview course materials

C++ implementation of the Google logging module

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Map Reduce Implementation of Connected Component on Apache Spark

Spring Framework

循序渐进，学习Spring Boot、Spring Boot & Shiro、Spring Cloud和Spring Security，博客Spring系列源码

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

Google core libraries for Java

A toolkit for developing and comparing reinforcement learning algorithms.

fast.ai Courses

A collection of design patterns/idioms in Python

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

An improbable web debugger through WebSockets