Alternatives and similar repositories for AI_Learning_Hub

Users that are interested in AI_Learning_Hub are comparing it to the libraries listed below

• jasonding1354 / PRML_Notes
  该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解
  ☆77Updated 8 years ago
• Doraemonzzz / MachineLearning_ColumbiaX
  记录edx的哥伦比亚大学机器学习课程资料
  ☆17Updated 6 years ago
• RubensZimbres / PythonDataScienceHandbook
  Jupyter Notebooks for the Python Data Science Handbook
  ☆38Updated 8 years ago
• roboticcam / DLS_meetup_2018_02
  Contains all presentations for Deep Learning Sydney Meetup 2018 02
  ☆18Updated 7 years ago
• shenxiangzhuang / nyu-ml-course-ds-ga-1003
  DS-GA 1003[Spring 2019]
  ☆11Updated 5 years ago
• murufeng / awesome-machine-learning
  A curated list of awesome machine Learning tutorials,courses and communities.
  ☆40Updated 4 years ago
• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• achinnasamy / Free-Deep-Learning-Books
  A curated collection of free Deep Learning related eBooks
  ☆76Updated 7 years ago
• brianoleary15 / Hands-On-Machine-Learning-with-ScikitLearn-and-TensorFlow
  ☆37Updated 7 years ago
• PacktPublishing / Python-End-to-end-Data-Analysis
  Code repository for Python End to end Data Analysis, Published By Packt
  ☆46Updated 2 years ago
• nancyyanyu / machine_learning_study_notes
  Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…
  ☆14Updated 4 years ago
• Apress / practical-ml-w-python
  Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma
  ☆123Updated 7 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆287Updated 7 years ago
• alexsosn / MarslandMLAlgo
  Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.
  ☆150Updated 4 years ago
• prob140 / textbook
  ☆27Updated this week
• nsanghi / bayesian-methods-for-ml
  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
  ☆27Updated 7 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆70Updated 2 years ago
• wanzhenchn / Programming_Assignments_of_Deep_Learning
  Keys for Programming Assignments of Coursera Course Deep Learning Specialization by Andrew Ng
  ☆19Updated 6 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• bighuang624 / UW-ml-foundations-notes
  Coursera 华盛顿大学《机器学习基础：案例研究》课程笔记及练习代码
  ☆9Updated 7 years ago
• AceCoooool / MLF-MLT
  机器学习基石和机器学习技法作业
  ☆118Updated 6 years ago
• glemaitre / pyparis-2018-sklearn
  PyParis tutorial on machine learning using scikit-learn
  ☆74Updated last year
• roboticcam / python_machine_learning
  it contains all my python demo code accompanying my machine learning notes
  ☆81Updated 7 months ago
• llSourcell / Kaggle_Challenge_LIVE-Two-Sigma
  This is the code for "Kaggle Challenge (LIVE)" by Siraj Raval on Youtube
  ☆65Updated 6 years ago
• d2l-ai / notebooks
  ☆69Updated 5 years ago
• ys1305 / ML-hand
  各种机器学习算法的手写实现
  ☆20Updated 5 years ago
• soo-pecialist / Hands_on_ML_w_Scikit_Karas_and_TensorFlow
  Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron
  ☆27Updated 4 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• WangYang-wy / deeplearning.ai
  deeplearning.ai
  ☆37Updated 7 years ago
• zackchase / python-wow
  Python, so easy, wow!
  ☆139Updated 4 years ago