mitmath / 18065Links
18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
☆166Updated 8 months ago
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☆505Updated 4 months ago
- Harvard Applied Math 205: Code Examples☆87Updated 2 years ago
- 18.330 Introduction to Numerical Analysis☆371Updated last year
- 18.337 - Parallel Computing and Scientific Machine Learning☆240Updated 2 years ago
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆107Updated 7 months ago
- 18.335 - Introduction to Numerical Methods course☆538Updated last month
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆113Updated last year
- Julia code for the book Numerical Linear Algebra☆126Updated 2 years ago
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆335Updated 4 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆164Updated last month
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆462Updated 3 years ago
- 18.085 Gilbert Strang Computational Science and Engineering☆54Updated 4 years ago
- Data Science for Dynamical System Course☆122Updated 8 months ago
- 18.303 - Linear PDEs course☆144Updated last year
- Fundamentals of Numerical Computation text, Julia version for the MATLAB (1st) edition.☆84Updated this week
- ☆100Updated 2 weeks ago
- CME 213 Spring 2021☆65Updated 4 years ago
- Advanced Linear Algebra: Foundations to Frontiers (ALAFF) assignments repository☆81Updated 2 years ago
- Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT☆280Updated 2 years ago
- ☆140Updated 3 weeks ago
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆771Updated 4 months ago
- ☆38Updated 3 years ago
- Intensive Julia workshop that takes you from zero to hero☆192Updated last year
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆162Updated last year
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).☆138Updated 2 years ago
- Repository for Common Ground C25☆101Updated 6 months ago
- Tufte-style beamer template with Julia integration☆135Updated last year
- ☆85Updated 8 months ago