fangyi-deng's Projects
20 Most-Recommended Books for Software Developers
推荐系统从入门到实战
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Personalized book recommender system to generate top 5 recommendations to users
This repository contains code for recommendation engine. This recommendation engine is for recommending books.
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[email protected] 版权所有,违权必究 Tan 2018.06
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
ECG Classifier base on PYNQ-Z2 by using FINN Compiler
使用深度学习对人体心电数据进行多分类
Config files for my GitHub profile.
Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)
A DNN for recommending movies based on a user's history.
大规模推荐模型训练工具
Used Alternating Least Square method to build a recommender system in Spark [PySpark, Databricks, Python, Machine Learning]
Build Book Recommendation System based on user-based and item-based collaborative filtering approaches.
Book recommender system using collaborative filtering based on Spark
Best Practices on Recommendation Systems
Code to generate ECG figures from MIT BIH arrhythmia database, train CNN models (RESNET-50) on those images and produce explainability using 3 different methods.
Classify ECG signals into predefined categories based on heartbeat abnormality by transforming time series to images
相当不错的图书,例如《数学之美》、《浪潮之巅》、《TCP/IP卷一/卷二/卷三》等;一些大的上传受限制的文件《图解TCP_IP_第5版》、《深入理解Java虚拟机JVM》、《effective java》等在README