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Good Project To Learn

置顶 | 发表于 2038-10-10 更新于 2021-03-22 分类于 TODO

看透论文的整个流程

TO Learn

  • CMake入门实战
  • google-research/bert
  • brightmart/albert_zh
  • facebookresearch/dlrm
  • shenweichen/DeepCTR
  • ddbourgin/numpy-ml
  • hexiangnan/neural_factorization_machine
  • ChenglongChen/tensorflow-DeepFM
  • suvigyavijay/DeepRecommender
  • HIT-SCIR/ELMoForManyLangs
  • robi56/Deep-Learning-for-Recommendation-Systems
  • alibaba/x-deeplearning
  • LLSean/data-mining
  • yumeng5/Spherical-Text-Embedding
  • xuwei517/FlinkExample
  • Johnson0722/CTR_Prediction
  • jdwittenauer/ipython-notebooks

Summary Projects

  • weiguozhao/LeetCodes
    • 自己刷的LeetCode
    • LeetCode大佬的azl397985856/leetcode
  • wzhe06/Reco-papers
    • 推荐系统相关经典论文、资源等
  • princewen/tensorflow_practice
    • TF实战练习,包括强化学习、推荐系统、NLP等
  • kon9chunkit/GitHub-Chinese-Top-Charts
    • GitHub中文排行榜
  • IBBD技术博客
    • 涉及大数据、前后端、后台、其他工具等

Recommendation System

  • Factorization Machines
    • fm_tensorflow_code

Natural Language Processing

  • DSSM论文阅读与总结
    • 微软深度网络的语义模型

CV

  • ImageNet Classification with Deep Convolutional Neural Networks
    • 经典CNN论文

Machine Learning

  • danielsabinasz/TensorSlow
    • Python实现的TensorFlow

Distribute System

  • dmlc/ps-lite
    • ps-lite架构的分布式

Tools & Corpus

  • fighting41love/funNLP
    • NLP相关的很多语料库和工具
  • apachecn/sklearn-doc-zh
    • 翻译的scikit-learns

Contest Experiences

  • guoday/Tencent2019_Preliminary_Rank1st
    • 2019腾讯广告大赛冠军Code

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  1. 看透论文的整个流程
  2. TO Learn
  3. Summary Projects
  4. Recommendation System
  5. Natural Language Processing
  6. CV
  7. Machine Learning
  8. Distribute System
  9. Tools & Corpus
  10. Contest Experiences
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