Pinned Repositories
-Embedded
嵌入式课程实验以及其他有趣的实验记录
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
CS285_Fa19_Deep_Reinforcement_Learning
My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
Data-Science-Notes
数据科学的笔记以及资料搜集
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
JianZhi_Offer
记录解题思路和方法。C++/Python/Java。
LeetCode
思路方法。C++/Java/Python
React_learning
React进阶之路代码(项目附带注释)
striatum-trival01
基于原striatum项目,修改movielens_bandits.py使example能够运行,并且拓展该项目功能使其能够在 movieLens-10M100K、movieLens-1M(movieLens-100K)数据集上运行。
fengzhiyugithub's Repositories
fengzhiyugithub/React_learning
React进阶之路代码(项目附带注释)
fengzhiyugithub/JianZhi_Offer
记录解题思路和方法。C++/Python/Java。
fengzhiyugithub/LeetCode
思路方法。C++/Java/Python
fengzhiyugithub/striatum-trival01
基于原striatum项目,修改movielens_bandits.py使example能够运行,并且拓展该项目功能使其能够在 movieLens-10M100K、movieLens-1M(movieLens-100K)数据集上运行。
fengzhiyugithub/-Embedded
嵌入式课程实验以及其他有趣的实验记录
fengzhiyugithub/Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
fengzhiyugithub/CS285_Fa19_Deep_Reinforcement_Learning
My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments
fengzhiyugithub/Data-Science-Notes
数据科学的笔记以及资料搜集
fengzhiyugithub/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
fengzhiyugithub/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
fengzhiyugithub/dotfiles
My dotfiles and personal preferences
fengzhiyugithub/Free-VPN-for-Coursera
:key: :unlock:免费开源的科学上网工具
fengzhiyugithub/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
fengzhiyugithub/homework
Assignments for CS294-112.
fengzhiyugithub/kgpolicy
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
fengzhiyugithub/MovieLens-Recommender
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
fengzhiyugithub/movieRecommendation
本项目使用两种算法来实现一个电影推荐系统,一个是CNN,另一个是矩阵分解的协同过滤。
fengzhiyugithub/PinYouGou
品优购电商项目练习
fengzhiyugithub/PyTorch-Tutorial
Build your neural network easy and fast
fengzhiyugithub/recommenders
Best Practices on Recommendation Systems
fengzhiyugithub/Reinforcement-Learning
强化学习、DQN、linUCB
fengzhiyugithub/Reinforcement-learning-an-introduction
Reinforcement-learning
fengzhiyugithub/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
fengzhiyugithub/RL-movie-recommender
The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
fengzhiyugithub/scrapy_essential_use
scrapy的基本使用
fengzhiyugithub/striatum
Contextual bandit in python
fengzhiyugithub/striatum-trival01-1M---dataset_splited
ubuntu_movielens_bandit
fengzhiyugithub/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
fengzhiyugithub/TouTiao
TouTiao Spider Demo
fengzhiyugithub/Yahoo_recommendation
Yahoo! news article recommendation system by linUCB