Alternatives and similar repositories for 1806:

Users that are interested in 1806 are comparing it to the libraries listed below

• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆762Updated 2 months ago
• juanklopper / MIT_OCW_Linear_Algebra_18_06
  IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
  ☆555Updated last year
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆369Updated last year
• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆521Updated this week
• celiopassos / linear-algebra-done-right-solutions
  Solutions to Linear Algebra Done Right, Third Edition
  ☆223Updated 2 years ago
• probml / pml-book
  "Probabilistic Machine Learning" - a book series by Kevin Murphy
  ☆5,185Updated last week
• WMX567 / Math-and-Algorithm-Learning
  A collection of books/notes for Math and Algorithm study (files available)
  ☆126Updated 5 months ago
• QBobWatson / gt-linalg
  Interactive Linear Algebra, free online textbook at Georgia Tech
  ☆923Updated 2 years ago
• QBobWatson / ila
  Interactive Linear Algebra
  ☆715Updated last year
• mitmath / computational-thinking
  Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
  ☆2,671Updated last month
• abhishekkrthakur / approachingalmost
  Approaching (Almost) Any Machine Learning Problem
  ☆7,888Updated 2 years ago
• probml / pyprobml
  Python code for "Probabilistic Machine learning" book by Kevin Murphy
  ☆6,731Updated 5 months ago
• zeramorphic / cambridge-maths-notes
  LaTeX sources for notes for the maths courses at Cambridge.
  ☆102Updated 10 months ago
• data-8 / textbook
  The textbook Computational and Inferential Thinking: The Foundations of Data Science
  ☆847Updated 7 months ago
• luxiaodong / Book
  ☆300Updated 7 years ago
• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆451Updated 3 years ago
• dalcde / cam-notes
  My Cambridge Lecture Notes
  ☆1,384Updated 9 months ago
• learning511 / cs229-assignments
  ☆173Updated 6 years ago
• vbartle / VMLS-Companions
  These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
  ☆334Updated 4 years ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆474Updated 2 months ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆572Updated last year
• 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.
  ☆2,409Updated 7 months ago
• neonwatty / machine-learning-refined
  Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratc…
  ☆1,769Updated 2 months ago
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,471Updated last year
• DS-100 / textbook
  Learning Data Science, a textbook.
  ☆248Updated 5 months ago
• SciML / SciMLBook
  Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
  ☆1,895Updated last month
• kyp44 / Topology
  A solutions manual for Topology by James Munkres (2nd Edition)
  ☆34Updated 2 months ago
• antonvladyka / neuralnetworksanddeeplearning.com.pdf
  LaTeX/PDF + Epub version of the online book (http://neuralnetworksanddeeplearning.com) ”Neural Networks and Deep Learning“ by Michael Nie…
  ☆278Updated 3 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,062Updated 2 years ago
• StanfordVL / CS131_release
  Released assignments for the Stanford's CS131 course on Computer Vision.
  ☆478Updated 2 months ago