mdyx

mdyx's Stars

• 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。

  Language:Python2.2k511

• huangtinglin/MixGCF

  MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021

  Language:Python9626

• paulorauber/thesne

  t-SNE and dynamic t-SNE in theano

  Language:Python7621

• pmixer/SASRec.pytorch

  PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

  Language:Python36798

• thunlp/OpenKE

  An Open-Source Package for Knowledge Embedding (KE)

  Language:Python3.9k983

• xiangwang1223/knowledge_graph_attention_network

  KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

  Language:Python1.1k318

• RUCDM/KSR

  Code for our SIGIR 2018 paper "Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks". See the paper: https://dl.acm.org/citation.cfm?id=3209978.3210017

  Language:Python295

• kang205/SASRec

  SASRec: Self-Attentive Sequential Recommendation

  Language:Python749160

• hidasib/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.

  Language:Python767223

• huangtinglin/Knowledge_Graph_based_Intent_Network

  Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

  Language:Python21648

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

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