LiujunWang

LiujunWang's Stars

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile68.7k4036728.8k

• TeamStuQ/skill-map

  程序员技能图谱

  Language:HTML20k1.7k864.3k

• imarvinle/awesome-cs-books

  🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

  17.7k246162.6k

• instillai/TensorFlow-Course

  :satellite: Simple and ready-to-use tutorials for TensorFlow

  Language:Jupyter Notebook16.4k806123.2k

• ShiArthur03/ShiArthur03

  Language:MATLAB10.3k321.4k1.9k

• shenweichen/DeepCTR

  Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

  Language:Python7.6k1783702.2k

• yanfeizhang/coder-kung-fu

  开发内功修炼

  Language:C6.4k18561k

• wzhe06/Ad-papers

  Papers on Computational Advertising

  Language:Python4.3k35021.2k

• y123456yz/reading-code-of-nginx-1.9.2

  nginx-1.9.2源码通读分析注释，带详尽函数中文分析注释以及相关函数流程调用注释，最全面的nginx源码阅读分析中文注释，更新完毕

  Language:C4.2k24481.3k

• ZachL1/Bilibili-plus

  课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

  Language:C++4k40131k

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k86167842

• Sophia-11/Machine-Learning-Notes

  周志华《机器学习》手推笔记

  3.6k1344750

• jianghui-galaxy/Interview-Notebook

  https://github.com/CyC2018/Interview-Notebook

  1.8k1142487

• zhougr1993/DeepInterestNetwork

  Language:Python1.6k4090559

• bioinf-jku/SNNs

  Tutorials and implementations for "Self-normalizing networks"

  Language:Jupyter Notebook1.6k7116197

• yangxudong/deeplearning

  深度学习相关的模型训练、评估和预测相关代码

  Language:Python1k3525378

• reczoo/FuxiCTR

  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

  Language:Python9991268168

• imarvinle/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python911120234

• vahidk/tfrecord

  Standalone TFRecord reader/writer with PyTorch data loaders

  Language:Python871864107

• fuzhengwei/NaiveChat

  :performing_arts: 本IM通信项目是作者小傅哥使用JavaFx、Netty4.x、SpringBoot、Mysql等技术栈和偏向于DDD领域驱动设计方式，搭建的仿桌面版微信实现通信核心功能。课程文章已发布到GitChat专栏，欢迎购买。如果本项目能为您提供帮助，请给予支持(关注、:star:Star、分享)！

  Language:JavaScript860182300

• thuml/awesome-multi-task-learning

  2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

  70618356

• y123456yz/Reading-and-comprehense-redis-cluster

  分布式NOSQL redis源码阅读中文分析注释，带详尽注释以及相关流程调用注释，提出改造点，redis cluster集群功能、节点扩容、槽位迁移、failover故障切换、一致性选举完整分析，对理解redis源码很有帮助，解决了source insight中文注释乱码问题,更新完毕

  Language:C679242241

• ytin16/awesome-machine-learning-1

  Learning Resources And Links Of Machine Learning（updating）

  63580225

• Tencent/deepx_core

  deepx_core是一个专注于张量计算/深度学习的基础库

  Language:C++37018554

• reczoo/BARS

  BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

  Language:Python36553757

• CAN-Paper/Co-Action-Network

  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

  Language:Python2158858

• zhuchenxv/AutoFIS

  AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

  Language:Python1836752

• canjiali/PARADE

  code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking.

  Language:Python9732510

• bajdcc/tinix

  forked from http://code.taobao.org/p/tinixdev/src/

  Language:C448126

• yyht/BERT

  modification of official bert for downstream task

  Language:Python313611