mitmath / 18065Links
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
☆181Updated last year
Alternatives and similar repositories for 18065
Users that are interested in 18065 are comparing it to the libraries listed below
Sorting:
- MIT IAP short course: Matrix Calculus for Machine Learning and Beyond☆562Updated 3 weeks ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆134Updated last year
- 18.335 - Introduction to Numerical Methods course☆568Updated 3 weeks ago
- Harvard Applied Math 205: Code Examples☆95Updated 3 years ago
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆512Updated 3 years ago
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated last year
- 18.330 Introduction to Numerical Analysis☆382Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆189Updated last year
- 18.337 - Parallel Computing and Scientific Machine Learning☆246Updated 2 years ago
- Julia code for the book Numerical Linear Algebra☆128Updated 2 years ago
- A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).☆141Updated 3 years ago
- 18.303 - Linear PDEs course☆147Updated 2 years ago
- ☆105Updated 3 weeks ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆172Updated 4 months ago
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆90Updated this week
- ☆148Updated 6 months ago
- Repository for Common Ground C25☆104Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆198Updated 2 years ago
- 18.085 Gilbert Strang Computational Science and Engineering☆59Updated 4 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆224Updated last year
- Material for the course Large-Scale Convex Optimisation at LTH, autumn 2020☆15Updated 4 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆59Updated 4 years ago
- Errata for Algorithms for Optimization book☆72Updated last week
- MATLAB codes accompanying "Numerical Linear Algebra Theory" by Larisa Beilina, Evgenii Karchevskii, and Mikhail Karchevskii☆16Updated 8 years ago
- Collection of Matrix/Linear Algebra Information☆67Updated last year
- Data Science for Dynamical System Course☆146Updated last month
- Code for the book "The Elements of Differentiable Programming".☆280Updated 6 months ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆259Updated 3 years ago
- Tufte-style beamer template with Julia integration☆139Updated 2 years ago
- ☆42Updated 4 years ago