Found 32 repositories(showing 30)
MLNLP-World
MLNLP: Notes for MIT-Linear-Algebra
ayamefing
No description available
note of introduction to linear algebra (MIT course 18.06)
71Oliver
notes for MIT linear algebra
ashirwad
Notes from Dr. Gilbert Strang's MIT OCW course on linear algebra.
OctopusLian
麻省理工公开课 线性代数 MIT 18.06 Linear Algebra Notes | Gilbert Strang
purepisces
No description available
shangyongbin
Notes on linear algebra course of MIT 18.06
线性代数MIT课程个人学习笔记
wangyingsm
A class notes project of MIT Linear Algebra by Prof. Gilbert Strang. MIT线性代数课笔记
photon-hunter
Note about the MIT 1806 Linear Algebra.
buptwxd2
No description available
alex-baldon
Notes from the free online Linear Algebra course in python; https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/
ft9738962
No description available
knight0529
The notes of Mit linear algebra classes, which are written by Jupyter.
Cannedgirl
Notes on MIT public class:Linear Algebra
angeli-13
Class Lecture Notes for MIT 18.06 Linear Algebra
orgTestCodacy11KRepos110MB
No description available
akushe-08
No description available
ChengGuo2000
My Learning Notes on MIT 18.06 Linear Algebra
youjia-zhao-official
# 线性代数笔记(from:https://www.zhihu.com/people/san-shao-ye-de-jian-37) Linear Algebra Notes
Personal notes from Gilbert Strang's MIT OCW on Linear Algebra
justAbdulaziz10
Notes from MIT Linear Algebra Lectures taught by Prof. Gilbert Strang
omidTarabavar
Notes for MIT's 18.06 - Linear Algebra - Taught by Gilbert Strang
123-abc-debug
This repo is about my notes about the MIT course linear algebra
atharvmunot004
Personal notes, intuition, and code for linear algebra, inspired by MIT 18.06 (Gilbert Strang).
Minohh
Note of the MIT course 18.06 Linear Algebra presented by Gilbert Strang.
ChenBohan
Notes of Linear Algebra, Gilbert Strang, MIT 18.06 麻省理工线性代数
CleiverRuiz
This database contains my notes on linear algebra covered in the MIT 18.06SC course offered free online through MIT OpenCourseWare. The course follows Gilbert Strang's textbook
EstellaHurlock
Focused preparation for Masters Applications: Python DSA, linear algebra (Imperial/Coursera), discrete mathematics (MIT OCW), and small code exercises. Compact, runnable examples + notes.