Alternatives and similar repositories for noBSLAnotebooks

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

• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆360Updated 3 years ago
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆187Updated last year
• mikexcohen / LinAlgBook
  Python and MATLAB code for linear algebra textbook.
  ☆181Updated 8 months ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 8 months ago
• EdwardRaff / Inside-Deep-Learning
  Inside Deep Learning: The math, the algorithms, the models
  ☆255Updated last year
• buruzaemon / IntroductionToProbabilityPy
  Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition
  ☆73Updated 6 years ago
• botlnec / islp
  Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!
  ☆33Updated 9 months ago
• engineersCode / EngComp4_landlinear
  Using computational thinking to get deep insights on the foundations of linear algebra
  ☆113Updated last month
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆275Updated 4 years ago
• rkneusel9 / MathForDeepLearning
  Source code for the book "Math for Deep Learning" (No Starch Press)
  ☆157Updated 2 months ago
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆62Updated 4 years ago
• PacktPublishing / scikit-learn-Cookbook-Second-Edition
  scikit-learn Cookbook Second Edition, published by Packt
  ☆102Updated 2 years ago
• PacktPublishing / Artificial-Intelligence-By-Example-Second-Edition
  Artificial Intelligence By Example Second Edition, published by Packt
  ☆50Updated 4 years ago
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆143Updated last year
• mGalarnyk / DSE210_Probability_Statistics_Python
  Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
  ☆179Updated 7 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆155Updated 2 years ago
• AllenDowney / ProbablyOverthinkingIt
  Supplementary material for my book, Probably Overthinking It.
  ☆154Updated 7 months ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆275Updated 6 years ago
• AllenDowney / DSIRP
  Data Structures and Information Retrieval in Python
  ☆133Updated 10 months ago
• dabeaz / python-distilled
  Resources for Python Distilled (Book)
  ☆100Updated 10 months ago
• paiml / python_for_datascience
  [Video]Colab Notebooks for Python for Data Science by Pearson
  ☆43Updated 4 months ago
• DavidMertz / PyTorch-webinar
  Machine Learning with PyTorch tutorials (for Pearson)
  ☆47Updated 3 years ago
• mlarocca / grokking_data_structures
  ☆92Updated last year
• PacktPublishing / Mastering-Machine-Learning-Algorithms
  Mastering Machine Learning Algorithms, published by Packt
  ☆66Updated 3 weeks ago
• cs109 / 2018-cs109a
  Official Public site for CS109a Fall 2018
  ☆34Updated 7 years ago
• uu-sml / sml-book-page
  Page for the SML book
  ☆50Updated 2 years ago
• cs109 / 2018-cs109b
  Harvard CS109b Public Repository
  ☆234Updated 4 years ago
• vsmolyakov / ml_algo_in_depth
  ML algorithms in depth
  ☆242Updated 8 months ago
• PacktPublishing / Building-Machine-Learning-Systems-with-Python-Third-edition
  Code repository for Building Machine Learning Systems with Python Third Edition, by Packt
  ☆96Updated 2 years ago
• Montanaz0r / Bayesian-Statistics-The-Fun-Way
  Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
  ☆72Updated last year