book-wright-ma / book-wright-ma.github.io

Related projects: ⓘ

• st-- / interactive-gp-visualization
  Interactive visualization of Gaussian processes
  ☆162Updated last year
• mitmath / 18336
  18.336 - Fast Methods for Partial Differential and Integral Equations
  ☆178Updated 4 months ago
• mitmath / 18303
  18.303 - Linear PDEs course
  ☆138Updated 9 months ago
• bob-carpenter / ad-handbook
  Automatic Differentiation Handbook
  ☆145Updated 3 years ago
• mblondel / teaching
  ☆85Updated 3 years ago
• mitmath / 18338
  ☆93Updated this week
• mossr / machine_learning_book
  Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook
  ☆49Updated 2 years ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆76Updated 2 years ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆100Updated last year
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆49Updated 3 years ago
• ywteh / advml2020
  ☆82Updated this week
• js8544 / nyu-latex-templates
  Beamer presentation and poster template for New York University / NYU Abu Dhabi / NYU Shanghai
  ☆36Updated 5 years ago
• mitmath / 18S096SciML
  18.S096 - Applications of Scientific Machine Learning
  ☆305Updated 2 years ago
• Jue-Xu / Latex-Template-for-Scientific-Style-Book
  Latex Template for Scientific style Book/Notes
  ☆34Updated 2 years ago
• YinTat / optimizationbook
  ☆119Updated this week
• Zhenyu-LIAO / RMT4ML
  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
  ☆106Updated last year
• sailinglab / pgm-spring-2019
  Course webpage for PGM, Spring 2019.
  ☆75Updated 3 years ago
• tobydriscoll / fnc-extras
  Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
  ☆155Updated 2 years ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆293Updated 2 months ago
• RaulPL / awesome-gaussian-processes
  A curated list of resources for learning Gaussian Processes
  ☆33Updated 3 years ago
• EricDarve / cme213-spring-2021
  CME 213 Spring 2021
  ☆62Updated 3 years ago
• mitmath / 18330
  18.330 Introduction to Numerical Analysis
  ☆354Updated 7 months ago
• BallisticLA / parla
  Python Algorithms for Randomized Linear Algebra
  ☆45Updated last year
• KimHe / iNSFC
  NSFC LaTeX
  ☆16Updated 3 years ago
• EricDarve / numerical_linear_algebra
  Julia code for the book Numerical Linear Algebra
  ☆109Updated last year
• alanedelman / 18.337_2018
  ☆67Updated 5 years ago
• dbindel / cs6210-f19
  Course material for Cornell CS 6210 for Fall 2019
  ☆25Updated 4 years ago
• mitmath / 18065
  18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
  ☆136Updated 7 months ago
• s-kyo / GTM
  ☆47Updated this week
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago