Alternatives and similar repositories for EssentialMath

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

• graykode / distribution-is-all-you-need
  The basic distribution probability Tutorial for Deep Learning Researchers
  ☆1,632Updated 4 years ago
• percyliang / cs229t
  Statistical Learning Theory (CS229T) Lecture Notes
  ☆720Updated 5 years ago
• PKUAI26 / Deep-Learning-Advanced-Topics
  ☆154Updated 5 years ago
• cycleuser / MLAPP-CN
  A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy
  ☆364Updated 4 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆560Updated 3 years ago
• QBobWatson / gt-linalg
  Interactive Linear Algebra, free online textbook at Georgia Tech
  ☆924Updated 3 years ago
• jianzhu / dl-notes
  ☆617Updated 5 years ago
• SleepyBag / Statistical-Learning-Methods
  Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现
  ☆1,177Updated 3 years ago
• lonelygo / Shift-AI-models-to-real-world-products
  Share some useful guides and references about how to shift AI models to real world products or projects.
  ☆630Updated 4 years ago
• Sophia-11 / DeepLearningNotes
  《深度学习》花书手推笔记
  ☆502Updated 4 years ago
• KaiyuanGao / AI-Surveys
  整理AI相关领域的一些综述
  ☆382Updated 3 years ago
• Pysamlam / Tips-of-Feature-engineering
  A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!
  ☆672Updated 4 years ago
• szcf-weiya / ESL-CN
  The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
  ☆2,576Updated last month
• hardikkamboj / An-Introduction-to-Statistical-Learning
  This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
  ☆2,429Updated 9 months ago
• RemoteML / bestofml
  The best resources around Machine Learning
  ☆351Updated 3 years ago
• 2019ChenGong / Machine-Learning-Notes
  ☆515Updated 4 years ago
• apachecn / interpretable-ml-book-zh
  interpretable-ml-book中文翻译
  ☆138Updated 4 years ago
• convex-optimization / convex-optimization.github.io
  Algorithms for Convex Optimization Book
  ☆40Updated 2 years ago
• amusi / machine-learning-yearning-cn
  吴恩达《Machine Learning Yearning》的中英文版（更新中）：第1~第22章
  ☆264Updated 6 years ago
• demuxin / pytorch_tricks
  some tircks for PyTorch
  ☆576Updated 5 years ago
• amusi / PyTorch-From-Zero-To-One
  PyTorch从入门到精通
  ☆879Updated 4 years ago
• familyld / Awesome-Best-Papers
  Collect awesome best papers from top AI conferences.
  ☆470Updated 3 years ago
• vivienzou1 / DL-Notes-for-Interview
  deep learning/ machine learning
  ☆358Updated 2 years ago
• bat67 / awesome-deep-learning-and-machine-learning-questions
  【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
  ☆320Updated 6 years ago
• dalmia / Deep-Learning-Book-Chapter-Summaries
  Attempting to make the Deep Learning Book easier to understand.
  ☆1,079Updated 6 years ago
• Doraemonzzz / Learning-from-data
  记录Learning from data一书中的习题解答
  ☆991Updated 6 years ago
• bayesgroup / deepbayes-2018
  Seminars DeepBayes Summer School 2018
  ☆1,045Updated 5 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆833Updated 5 years ago
• toxtli / awesome-machine-learning-jupyter-notebooks-for-colab
  A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
  ☆307Updated 5 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆190Updated 5 years ago