Rimoku's Stars
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Kyubyong/transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
lcylmhlcy/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
JushuangQiao/Python-Offer
《剑指Offer》面试题Python实现
DarLiner/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
Jiakui/awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
THUDM/CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
awslabs/dgl-ke
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
DeepGraphLearning/RecommenderSystems
FeiSun/BERT4Rec
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
dglai/WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020
OnYuKang/Recommendation-systems-paperlist
Papers about recommendation systems that I am interested in
yangji9181/HNE
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
jxingm/Interview-Notes
包含机器学习、深度学习、图像处理、c++等视觉算法岗面试必备基础知识
Yale-LILY/LectureBank
LectureBank Dataset
Yale-LILY/TutorialBank
alicogintel/KG4Rec
Knowledge-aware recommendation papers.
ApexEDM/GIKT
GIKT: A Graph-based Interaction Model for Knowledge Tracing
jerryhao66/HRL
JockWang/ACKRec
gcn
harrylclc/concept-prerequisite-papers
List of papers on concept prerequisite learning.
suderoy/PREREQ-IAAI-19
Inferring Concept Prerequisite Relations from Online Educational Resources (IAAI-19)
JustinNie/Basic
Basic information for job
robert-lindsey/WCRP
Weighted Chinese Restaurant Process model for inferring skill labels in Bayesian Knowledge Tracing
harrylclc/eaai17-cpr-recover
Data used in "Recovering Concept Prerequisite Relations from University Course Dependencies" (Liang et al. 2017)