Pinned Repositories
ACS-Deployment-Tutorial
A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
CoIdea
display-advertising-challenge
Criteo/Kaggle Competition of CTR prediction
ElephantTeeth
GBDT
gbdt_lr
implicit
Fast Python Collaborative Filtering for Implicit Datasets
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
beifeizhou's Repositories
beifeizhou/spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
beifeizhou/INTANG
beifeizhou/spring-boot-admin
项目基于Spring boot+Mybatis的后台管理系统,具备用户管理,菜单管理和角色管理3个功能,权限控制到按钮层级。
beifeizhou/dl-docker
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
beifeizhou/DREAM
rnn based model for recommendations
beifeizhou/ezrhy.me
**还有啥?**有嘻哈!写不出押韵?试试这个工具,找个韵脚,就开始你的 freestyle!
beifeizhou/sparse_dot_topn
Python package to accelerate the sparse matrix multiplication
beifeizhou/EumJi-blog
spring boot + thymeleaf 开发的个人博客系统,演示站
beifeizhou/tensorflow
Computation using data flow graphs for scalable machine learning
beifeizhou/The-Terrible-Deep-Learning-List
15 working examples to get you started with Deep Learning without learning any of the math.
beifeizhou/RocAlphaGo
An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
beifeizhou/keras-examples
beifeizhou/hgru4rec
Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
beifeizhou/GRU4Rec
GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.
beifeizhou/RocAlphaGo.data
Version controlled data for AlphaGo repository
beifeizhou/lectures
Oxford Deep NLP 2017 course
beifeizhou/fastText
Library for fast text representation and classification.
beifeizhou/sentence2vec
Sentence2vec as described in A SIMPLE BUT TOUGH TO BEAT BASELINE FOR SENTENCE EMBEDDINGS by Sanjeev Arora, Yingyu Liang, Tengyu Ma
beifeizhou/ACS-Deployment-Tutorial
A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services
beifeizhou/Docker-Sinatra-Neo4j-example
A minimal example for a dockerized webapp with Sinatra and Neo4j
beifeizhou/word2vec
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
beifeizhou/doc2vec
beifeizhou/spark-movie-lens
An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
beifeizhou/deepframeworks
Evaluation of Deep Learning Frameworks
beifeizhou/PersonalShare
Personal Stuff Share With Others
beifeizhou/Youtube-Recommendation-Tensorflow
code of paper `Deep Neural Networks for Youtube Recommendation`
beifeizhou/MuGo
Replicating AlphaGo's architecture in a readable manner
beifeizhou/spark_recommender
Spark Recommender example
beifeizhou/elasticsearch-feature-vector-scoring
A simple scoring plugin for vector in Elasticsearch.
beifeizhou/elasticsearch-vector-scoring
Score documents with pure dot product / cosine similarity with ES