Pinned Repositories
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
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 Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
bandit_algo_evaluation
Offline evaluation of multi-armed bandit algorithms
bandits
Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
bottle
bottle.py is a fast and simple micro-framework for python web-applications.
semutter's Repositories
semutter/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
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 Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
semutter/bandit_algo_evaluation
Offline evaluation of multi-armed bandit algorithms
semutter/bandits
Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
semutter/connected-component
Map Reduce Implementation of Connected Component on Apache Spark
semutter/courses
fast.ai Courses
semutter/DeepInterestNetwork
semutter/dien
semutter/dl-pytorch
semutter/dlrm
An implementation of a deep learning recommendation model (DLRM)
semutter/dotfiles
semutter/educative-io-contents
semutter/emacs.d
semutter/glog
C++ implementation of the Google logging module
semutter/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
semutter/Grokking-the-System-Design
Grokking the system design interview course materials
semutter/guava
Google core libraries for Java
semutter/gym
A toolkit for developing and comparing reinforcement learning algorithms.
semutter/iBook
收藏一些电子书
semutter/MIMN
semutter/Personalized-News-Recommendation
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
semutter/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
semutter/python-patterns
A collection of design patterns/idioms in Python
semutter/pytorch-best-practice
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
semutter/RecBole
A unified, comprehensive and efficient recommendation library
semutter/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
semutter/semutter.github.io
github page
semutter/sim
semutter/spacemacs
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
semutter/spring-framework
Spring Framework
semutter/SpringAll
循序渐进，学习Spring Boot、Spring Boot & Shiro、Spring Cloud和Spring Security，博客Spring系列源码