duanchao's repositories
Courses-Recommendation-system
This is a course recommendation system that generates recommendation based on the study patterns and cognitive level of the students. The features are extracted using huge and raw log files. The web interface is built using the flask framework.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
pytorch_bert_elmo_example
A text classification example with Bert/ELMo/GloVe in pytorch
deep-recommender-system
深度学习在推荐系统中的应用及论文小结。
Datasets-for-Recommender-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
SASRec
SASRec: Self-Attentive Sequential Recommendation
DGCF
[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."
RGRec
Rule-Guided Graph Neural Networks for Recommender Systems, ISWC 2020
TextualEntailmentDualEmbeddedCNN
A 2-input Convolutional Neural Network with word embeddings. Tackles the difficult problem of Textual Entailment using the Stanford Natural Language Inference (SNLI) corpus. Demonstrates that a 3-class validation accuracy of 73%+ can be obtained on the corpus without resorting to pre-training, recursion/trees, attention, or LSTM/RNNs. Please find data corpus at https://nlp.stanford.edu/projects/snli/
ID-DAML
推荐系统---实验+复现+创新
Neu-Review-Rec
A Toolkit for Neural Review-based Recommendation models with Pytorch.
recommend-project
个性化文章推荐系统
flink-recommandSystem-demo
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。
recommended-books
计算机经典书籍推荐 部分书籍提供PDF下载
Sequential_Recommendation_Tensorflow
Several sequential recommended models implemented by tenosrflow1.x
awesome-RecSys-1
Must-read papers on recommendation systems (RecSys)
Reco-papers
Classic papers and resources on recommendation
tensorflow-recommendation-wals
An end-to-end solution for website article recommendations based on Google Analytics data. Uses WALS matrix-factorization in TensorFlow, trained on Cloud ML Engine. Recommendations served with App Engine Flex and Cloud Endpoints. Orchestration is performed using Airflow on Cloud Composer. See the solution tutorials at:
Self-Multi-Head-Attention-Based-CNNs-for-fake-News-Detection
An NLP Task aimed at Predicting whether a given news article is fake or real by creating own Word2Vec Model, leveraging Attention-Mechanism to create combined Word-Vector Matrix and then feeding to CNNs
RS-with-KG
知识图谱结合推荐系统近年工作
CaseRecommender
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
tang_poetry
全唐诗数据库
MovieRecommend
一个电影推荐系统
bookRecommend
图书推荐系统，基于商品的协同过滤算法实现
RecVAE
The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
GRU4Rec
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
DeepRec
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Recommender-1
大数据一期-推荐系统项目