mitmath / matrixcalcLinks
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
☆502Updated 4 months ago
Alternatives and similar repositories for matrixcalc
Users that are interested in matrixcalc are comparing it to the libraries listed below
Sorting:
- 18.335 - Introduction to Numerical Methods course☆538Updated last month
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆166Updated 7 months ago
- 18.337 - Parallel Computing and Scientific Machine Learning☆240Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆162Updated last year
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆206Updated last year
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- Repository for Common Ground C25☆101Updated 6 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆109Updated last year
- Jupyter notebooks associated with the Algorithms for Optimization textbook☆461Updated 3 years ago
- 18.330 Introduction to Numerical Analysis☆371Updated last year
- Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)☆1,912Updated last month
- A template for textbooks in the same style as Algorithms for Optimization☆367Updated last year
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆107Updated 7 months ago
- Machine Learning with Symbolic Tensors☆299Updated 3 weeks ago
- Compositional Linear Algebra☆477Updated 3 weeks ago
- Distributed High-Performance Symbolic Regression in Julia☆705Updated this week
- ☆100Updated 2 weeks ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- Important concepts in numerical linear algebra and related areas☆761Updated last year
- Julia Programming for Machine Learning course at TU Berlin☆249Updated last month
- A Python package for probabilistic state space modeling with JAX☆832Updated last month
- Tutorials and information on the Julia language for MIT numerical-computation courses.☆770Updated 4 months ago
- Interactive textbook on state-space models☆190Updated last year
- Probabilistic Numerics in Python.☆452Updated last year
- 🏔️Optimization on Riemannian Manifolds in Julia☆362Updated last week
- Data Science for Dynamical System Course☆121Updated 8 months ago
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆254Updated 2 years ago
- Julia code for the book Numerical Linear Algebra☆126Updated 2 years ago
- Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learnin…☆888Updated last month
- These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.☆335Updated 4 years ago