mitmath / 18065Links
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
☆176Updated 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☆544Updated 8 months ago
- 18.335 - Introduction to Numerical Methods course☆559Updated last week
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆127Updated last year
- Harvard Applied Math 205: Code Examples☆91Updated 3 years ago
- 18.337 - Parallel Computing and Scientific Machine Learning☆244Updated 2 years ago
- Julia code for the book Numerical Linear Algebra☆127Updated 2 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆184Updated last year
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆110Updated 11 months ago
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆477Updated 3 years ago
- 18.330 Introduction to Numerical Analysis☆378Updated last year
- Repository for Common Ground C25☆103Updated 11 months ago
- 18.303 - Linear PDEs course☆145Updated last year
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆170Updated 2 months ago
- A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).☆139Updated 2 years ago
- Stanford's CS229 Machine Learning lecture notes compiled into a Tufte-style textbook☆59Updated 3 years ago
- 18.085 Gilbert Strang Computational Science and Engineering☆57Updated 4 years ago
- ☆147Updated 4 months ago
- ☆104Updated last week
- A high-performance C++ library for randomized numerical linear algebra☆76Updated this week
- Demos for "Linear Algebra for DS, ML, and SP" book☆71Updated 2 weeks ago
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆87Updated 2 weeks ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆221Updated last year
- Numerical Analysis -- Applied Mathematics☆31Updated 4 years ago
- ☆10Updated this week
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆257Updated 3 years ago
- Free textbook on graduate-level applied math for science and engineering☆80Updated 2 months ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆188Updated 2 years ago
- 18.S096 - Applications of Scientific Machine Learning☆311Updated 3 years ago
- Data Science for Dynamical System Course☆131Updated this week
- Solutions to exercises in Numerical Linear Algebra by Trefethen and Bau.☆105Updated 6 years ago