sunyatong Goto Github PK

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

awesome-deep-learning-papers

The most cited deep learning papers

berd-ijcai-21

Source code for "Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data"

bert4rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

cloc

cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

gitskills

hrl

joint-kg-recommender

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

learngit

learning-data-manipulation

librec

LibRec: A Java Library for Recommender Systems, see

ml-slides

models

Models built with TensorFlow

neural_collaborative_filtering

Neural Collaborative Filtering

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

rcf

Tensorflow implementation of RCF

recurrent-knowledge-graph-embedding

This is for the knowledge graph embedding recommendation framework – RKGE

reinforcens

self-learning

Books Papers, Courses & more I have to learn soon

tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.