Alternatives and similar repositories for VMLS-Companions

Users that are interested in VMLS-Companions are comparing it to the libraries listed below

• algorithmsbooks / algforopt-notebooks
  Jupyter notebooks associated with the Algorithms for Optimization textbook
  ☆518Updated 3 years ago
• mitmath / 6S083
  Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
  ☆510Updated 2 years ago
• mitmath / 18335
  18.335 - Introduction to Numerical Methods course
  ☆568Updated last month
• Foundations-of-Applied-Mathematics / Labs
  Labs for the Foundations of Applied Mathematics curriculum.
  ☆234Updated last year
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆297Updated 5 years ago
• JuliaAcademy / DataScience
  Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
  ☆528Updated last year
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆157Updated 2 weeks ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆95Updated 3 years ago
• mitmath / julia-mit
  Tutorials and information on the Julia language for MIT numerical-computation courses.
  ☆798Updated 11 months ago
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆312Updated 3 years ago
• h-Klok / StatsWithJuliaBook
  ☆1,094Updated 2 years ago
• juanklopper / JuliaCourseNotebooks
  Jupyter notebooks for the Julia Scientific Programming course on Coursera
  ☆237Updated 6 years ago
• QuantEcon / quantecon-notebooks-julia
  ☆110Updated 4 years ago
• JuliaDataScience / JuliaDataScience
  Book on Julia for Data Science
  ☆508Updated last month
• storopoli / Bayesian-Statistics
  Bayesian statistics graduate course
  ☆362Updated 2 months ago
• Foundations-of-Applied-Mathematics / Student-Materials
  Specification files for the Foundations of Applied Mathematics lab curriculum. https://foundations-of-applied-mathematics.github.io/
  ☆55Updated last year
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆172Updated 5 months ago
• alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
  My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
  ☆74Updated last year
• JuliaAcademy / JuliaProgrammingForNervousBeginners
  A course for people who are hesitant but curious about learning to write code in Julia.
  ☆181Updated 3 years ago
• ageron / julia_notebooks
  Julia Jupyter/Colab Notebooks
  ☆165Updated 2 months ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆564Updated this week
• sisl / OptimizationCourse
  ☆76Updated 8 years ago
• patrickwalls / mathematicalpython
  Introduction to Mathematical Computing with Python and Jupyter
  ☆551Updated 2 years ago
• bkamins / JuliaForDataAnalysis
  Codes for the book "Julia for Data Analysis"
  ☆216Updated 9 months ago
• dpsanders / LearnJulia2020
  ☆103Updated 5 years ago
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆382Updated last year
• RoyiAvital / Julia100Exercises
  A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).
  ☆141Updated 3 years ago
• tndoan / ISLR.jl
  JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
  ☆144Updated 5 years ago
• algorithmsbooks / decisionmaking-code
  All typeset code blocks from the book, Algorithms for Decision Making.
  ☆43Updated 2 years ago
• UCIDataScienceInitiative / IntroToJulia
  A Deep Introduction to Julia for Data Science and Scientific Computing
  ☆256Updated 4 years ago