Pinned Repositories
2016
RecSys Challenge 2016: job recommendations
Affinity-matrix-generator
awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
bert
TensorFlow code and pre-trained models for BERT
Clustered-affinity-matrix-generator
CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
Datasets-for-Recommneder-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
DeepInf
DeepInf: Social Influence Prediction with Deep Learning
discreteSeekBar
EC-Assignments
Sept23's Repositories
Sept23/Affinity-matrix-generator
Sept23/awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
Sept23/bert
TensorFlow code and pre-trained models for BERT
Sept23/Clustered-affinity-matrix-generator
Sept23/CS-Notes
:books: Tech Interview Guide 技术面试必备基础知识、Leetcode 题解、Java、C++、Python、后端面试、操作系统、计算机网络、系统设计
Sept23/Datasets-for-Recommneder-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Sept23/DeepInf
DeepInf: Social Influence Prediction with Deep Learning
Sept23/EC-Assignments
Sept23/EC-GVGAI
Sept23/gitignore
A collection of useful .gitignore templates
Sept23/GraphGAN
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Sept23/grobid
A machine learning software for extracting information from scholarly documents
Sept23/K-Medoid
A C++ implementation of K-Medoid
Sept23/KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
Sept23/KGNN-LS
A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization
Sept23/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Sept23/LearningNotes
Enjoy Learning.
Sept23/LeetCode_python
Solutions of LeetCode problems I practiced
Sept23/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接
Sept23/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Sept23/ml-cheatsheet
Machine learning glossary
Sept23/models
Models and examples built with TensorFlow
Sept23/nlp-in-practice
NLP, Text Mining and Machine Learning starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
Sept23/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Sept23/Python-100-Days
Python - 100天从新手到大师
Sept23/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
Sept23/Quality-Aware-Neural-Complementary-Item-Recommendation
Sept23/react-demos
a collection of simple demos of React.js
Sept23/STAR-GCN
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Sept23/SVM-Python