MichaelWoo20140410

MichaelWoo20140410's Stars

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown124k2.3k82623.1k

• changkun/modern-cpp-tutorial

  📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

  Language:C++23.5k6241303k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.2k8611556k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.4k2738453k

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python6.4k10551.1k

• google-research/albert

  ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

  Language:Python3.2k71182571

• devsisters/DQN-tensorflow

  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

  Language:Python2.5k14657765

• shenweichen/DeepMatch

  A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

  Language:Python2.2k5074526

• DA-southampton/Tech_Aarticle

  主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

  1.7k510326

• frekele/oracle-java

  Oracle Java Binaries

  1.6k492305

• shenweichen/AlgoNotes

  【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

  1.5k310219

• CMA-ES/pycma

  Python implementation of CMA-ES

  Language:Python1.1k17227176

• yangxudong/deeplearning

  深度学习相关的模型训练、评估和预测相关代码

  Language:Python1k3525378

• wardseptember/notes

  算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记，源码级学习笔记后续也会更新。

  Language:HTML8271117201

• Leavingseason/xDeepFM

  Language:Python7392719223

• kang205/SASRec

  SASRec: Self-Attentive Sequential Recommendation

  Language:Python6911529148

• LongmaoTeamTf/deep_recommenders

  Deep Recommenders

  Language:Python32577106

• UIC-Paper/MIMN

  Language:Python2796592

• THUDM/ComiRec

  Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

  Language:Python27553775

• wangzhegeek/DSSM-Lookalike

  Language:Python1897456

• layer6ai-labs/DropoutNet

  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"

  Language:Python17012343

• KnowNo/books-7

  A book a day, keep stupid away

  Language:Python1146051

• fajieyuan/WSDM2019-nextitnet

  Generative model for sequential recommendation based on Convolution Neural Networks (CNN))

  Language:Python1091129

• ouc16020021031/video-click-TOP1

  视频点击预测大赛-TOP1方案

  Language:Python874318

• massquantity/dismember

  Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

  Language:Scala613112

• km1994/TopicShare

  494012

• schatty/siamese-networks-tf

  Implementation of Siamese-Networks for One Shot Learning in TensorFlow 2.0

  Language:Python394112

• zhusleep/ai_ppts

  36207

• BELIEVEfxy/LightSANs

  Code for our SIGIR 2021 short paper "Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation."

  Language:Python21249

• boschresearch/metanas

  Meta-Learning of Neural Architectures for Few-Shot Learning

  Language:Python16317