nickovchinnikov / Computational-Science-and-Engineering
18.085 Gilbert Strang Computational Science and Engineering
☆48Updated 3 years ago
Alternatives and similar repositories for Computational-Science-and-Engineering:
Users that are interested in Computational-Science-and-Engineering are comparing it to the libraries listed below
- Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.☆104Updated 5 months ago
- Notes and course material for MATH50003 Numerical Analysis (2022–2023)☆53Updated last year
- Repository for Common Ground C25☆100Updated 4 months ago
- Harvard Applied Math 205: Code Examples☆86Updated 2 years ago
- Julia Programming for Machine Learning course at TU Berlin☆247Updated last week
- 18.065/18.0651: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning☆158Updated 5 months ago
- ☆37Updated 3 years ago
- Jupyter notebooks used in the course Numerical Analysis (MAST 334 and MATH 354) at Concordia University☆12Updated last year
- Notebook for my new solver book☆64Updated 6 months ago
- Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.☆164Updated this week
- Codes for Numerical Analysis course☆36Updated last month
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆51Updated last year
- 18.335 - Introduction to Numerical Methods course☆521Updated this week
- 18.337 - Parallel Computing and Scientific Machine Learning☆237Updated 2 years ago
- ☆20Updated 3 years ago
- Scientific Machine Learning☆13Updated 3 weeks ago
- Notes and course material for MATH50003 Numerical Analysis (2023–24)☆16Updated 6 months ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆103Updated last year
- Notes and examples on how to solve partial differential equations with numerical methods, using Python.☆31Updated last year
- Julia code for the book Numerical Linear Algebra☆120Updated 2 years ago
- ☆19Updated 3 years ago
- 18.S096 - Applications of Scientific Machine Learning☆312Updated 3 years ago
- 18.330 Introduction to Numerical Analysis☆369Updated last year
- ☆17Updated 3 years ago
- A set of introductory exercises for Julia. Based on [100 NumPy Exercises](https://github.com/rougier/numpy-100).☆135Updated 2 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆56Updated 4 years ago
- Data Science for Dynamical System Course☆116Updated 6 months ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated 11 months ago
- MIT_18.S097☆125Updated last year
- Free learning resources on CFD, ML, HPC, and scientific writing☆9Updated last week