SunYatong's repositories
BERD-IJCAI-21
Source code for "Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data"
awesome-deep-learning-papers
The most cited deep learning papers
TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
BERT4Rec
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
librec
LibRec: A Java Library for Recommender Systems, see
neural_collaborative_filtering
Neural Collaborative Filtering
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
cloc
cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
dl4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
KGCN
A tensorflow implementation of Knowledge Graph Convolutional Networks
kgpolicy
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
KPRN
Reasoning Over Knowledge Graph Paths for Recommendation
models
Models built with TensorFlow
neuthesis-enhanced
东北大学博士、硕士学位论文模板
OpenKE
An Open-Source Package for Knowledge Embedding (KE)
paper-reading
深度学习论文阅读、数据仓库实践体验。比做算法的懂工程落地，比做工程的懂算法模型。
PRML
PRML algorithms implemented in Python
Recurrent-Knowledge-Graph-Embedding
This is for the knowledge graph embedding recommendation framework – RKGE
Self-Learning
Books Papers, Courses & more I have to learn soon