leeyngdo / Numerical-Linear-AlgebraLinks
Own solutions for exercises and MATLAB example codes for "Numerical Linear Algebra" by Lloyd N. Trefethen and David Bau III, 1997
☆85Updated last year
Alternatives and similar repositories for Numerical-Linear-Algebra
Users that are interested in Numerical-Linear-Algebra are comparing it to the libraries listed below
Sorting:
- Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.☆103Updated 6 years ago
- Harvard Applied Math 205: Code Examples☆88Updated 3 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆175Updated last year
- Additional exercises and data for EE364a. No solutions; for public consumption.☆747Updated 2 months ago
- ☆20Updated 2 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆288Updated 2 years ago
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆527Updated 6 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆123Updated last year
- A collection of awesome mathematics and computer science courses☆131Updated 7 months ago
- NYU Course Notes & Resources☆215Updated last year
- Repository for the course Probabilistic Machine Learning at Tübingen University☆26Updated 5 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆213Updated last year
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆88Updated 6 years ago
- EPFL Course - Optimization for Machine Learning - CS-439☆1,321Updated last month
- 🦍 Stanford CS236 : Deep Generative Models☆146Updated 6 years ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆63Updated last year
- Graduate course on Machine Learning☆125Updated 5 years ago
- 18.335 - Introduction to Numerical Methods course☆548Updated 3 months ago
- ☆143Updated 2 months ago
- All notes and materials for the CS229: Machine Learning course by Stanford University☆237Updated 4 years ago
- Python notebooks for Numerical Analysis☆150Updated 2 months ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- ☆85Updated 2 years ago
- A course on Linear Algebra using Python in Jupyter notebooks☆38Updated 2 years ago
- Unofficial implementation in Python porting of the book "Algorithms for Optimization" (2019) MIT Press by By Mykel J. Kochenderfer and Ti…☆49Updated 2 years ago
- ☆21Updated last year
- Repository for my Big Data Optimization course☆35Updated 4 years ago
- This repository contains materials from the author's deep learning course at UC Berkeley lectured by Prof. Sahai, including coursework, a…☆35Updated 2 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆85Updated 2 years ago
- My solutions to DLFC - Deep Learning: Foundations and Concepts☆85Updated 4 months ago