Alternatives and similar repositories for IML2021S1-Tutorial

Users that are interested in IML2021S1-Tutorial are comparing it to the libraries listed below

• Beaconsyh08 / COMP90041-2020SEM2
  The tutorial-material repository is prepared for Programming and Software Development COMP90041 at The University of Melbourne By Yuhao S…
  ☆23Updated 4 years ago
• chuangw6 / COMP90041_Tutorial
  ☆33Updated 3 years ago
• cy69855522 / Shortest-LeetCode-Python-Solutions
  Leet Code 刷题笔记 - - 不求最快最省，但求最短最优雅，Shorter is better here.
  ☆1,134Updated 3 years ago
• OliviaAo / COMP90024-Cluster-and-Cloud-Computing
  ☆14Updated 8 years ago
• InstantCWeed / God-Of-BigData
  大数据面试题，大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
  ☆26Updated 5 years ago
• SmirkCao / Lihang
  Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
  ☆6,189Updated 2 years ago
• labuladong / basic-challenge
  ☆200Updated 2 years ago
• wangzanning / COMP6080
  ☆27Updated 3 years ago
• fengdu78 / Data-Science-Notes
  数据科学的笔记以及资料搜集
  ☆8,452Updated 4 years ago
• conanhujinming / tips_for_interview
  我的一些面试心得；自学CS历程分享；找工作求职经验分享
  ☆3,884Updated 4 years ago
• labuladong / advanced-challenge
  ☆100Updated 3 years ago
• Berkeley-CS61B / lectureCode-sp19
  Code created for lecture during spring 19
  ☆180Updated 4 years ago
• JY-112553 / machine-learning
  Andrew Ng's machine learning programming assignments on Coursera
  ☆111Updated 6 years ago
• maplezzz / NTU_ML2017_Hung-yi-Lee_HW
  NTU ML2017 Spring and Fall Homework Hung-yi_Li 李宏毅老师 机器学习课程作业
  ☆876Updated 6 years ago
• WenDesi / lihang_book_algorithm
  致力于将李航博士《统计学习方法》一书中所有算法实现一遍
  ☆5,809Updated 6 years ago
• Dod-o / Statistical-Learning-Method_Code
  手写实现李航《统计学习方法》书中全部算法
  ☆11,456Updated 5 months ago
• TomYang1993 / javacs
  Data structures and algorithm in java/ Berkeley CS 61B
  ☆45Updated 4 years ago
• liweiwei1419 / LeetCode-Solutions-in-Good-Style
  首页已经更新，希望能对大家有帮助。
  ☆2,831Updated 3 years ago
• 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…
  ☆2,356Updated 6 years ago
• 2020GetGoodOffer / test
  Java复习合集
  ☆440Updated 2 years ago
• wzyonggege / statistical-learning-method
  《统计学习方法》笔记-基于Python算法实现
  ☆2,127Updated 7 years ago
• apachecn / Interview
  Interview = 简历指南 + 算法题 + 八股文 + 源码分析
  ☆8,896Updated last year
• TomYang1993 / skeleton-sp18
  mostly code assignments/reviews/practice on this Berkeley CS61B 2018 Spring course
  ☆21Updated 4 years ago
• shuhuai007 / Machine-Learning-Session
  ☆5,197Updated 5 years ago
• luo-rong / JavaInterviewArcanum
  Java2020校招面试秘籍
  ☆37Updated 5 years ago
• NLP-LOVE / ML-NLP
  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
  ☆17,066Updated 3 years ago
• duskcloudxu / USMasterApplicationMaterial
  申请期间攒下来的材料的开源版本
  ☆61Updated 6 years ago
• zslomo / 2019-Autumn-recruitment-experience
  2019届秋招面经集合
  ☆1,780Updated 6 years ago
• jzhoubu / MSBD-2018Fall
  HKUST Big Data Technology(BDT) program homework package
  ☆32Updated 6 years ago
• 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！
  ☆7,555Updated 3 years ago