Mathematical Foundations ML ML Frameworks
Educational resources, textbooks, and tutorials covering core mathematics (linear algebra, calculus, probability, statistics, optimization) essential for understanding machine learning algorithms. Does NOT include applied ML frameworks, specific algorithm implementations beyond pedagogical examples, or domain-specific applications.
There are 71 mathematical foundations ml frameworks tracked. 4 score above 50 (established tier). The highest-rated is tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations at 53/100 with 118 stars.
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
tiagomonteiro0715/The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations
A book on the mathematical foundations of AI from an engineering perspective. |
|
Established |
| 2 |
jonkrohn/ML-foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science |
|
Established |
| 3 |
hrnbot/Basic-Mathematics-for-Machine-Learning
The motive behind Creating this repo is to feel the fear of mathematics and... |
|
Established |
| 4 |
amitkaps/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The... |
|
Established |
| 5 |
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架! |
|
Emerging |
| 6 |
Visualize-ML/Book7_Visualizations-for-Machine-Learning
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正 |
|
Emerging |
| 7 |
Visualize-ML/Book6_First-Course-in-Data-Science
Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢! |
|
Emerging |
| 8 |
Visualize-ML/Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书! |
|
Emerging |
| 9 |
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架! |
|
Emerging |
| 10 |
sagardevaraju/Linear-Algebra-for-Machine-Learning-and-Data-Science
Notebooks and notes from going through Deeplearning.AI's linear algebra course |
|
Emerging |
| 11 |
fastai/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear... |
|
Emerging |
| 12 |
greyhatguy007/Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera
Mathematics for Machine Learning and Data Science Specialization - Coursera... |
|
Emerging |
| 13 |
ilmoi/MML-Book
Code / solutions for Mathematics for Machine Learning (MML Book) |
|
Emerging |
| 14 |
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine... |
|
Emerging |
| 15 |
MonitSharma/Numerical-Linear-Algebra
A course on Linear Algebra using Python in Jupyter notebooks |
|
Emerging |
| 16 |
huangtinglin/Linear-Algebra-and-Its-Applications-notes
《线性代数及其应用》笔记 |
|
Emerging |
| 17 |
Visualize-ML/Linear-Algebra-Made-Easy---Learn-with-Python-and-Visualization
”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正 |
|
Emerging |
| 18 |
maykulkarni/Machine-Learning-Curriculum
Complete path for a beginner to become a Machine Learning Scientist! |
|
Emerging |
| 19 |
krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics
A curated list of mathematics documents ,Concepts, Study Materials ,... |
|
Emerging |
| 20 |
dair-ai/Mathematics-for-ML
🧮 A collection of resources to learn mathematics for machine learning |
|
Emerging |
| 21 |
MathWorks-Teaching-Resources/Applied-Linear-Algebra
Learn linear algebra by applications in stoichiometry, steganography, static... |
|
Emerging |
| 22 |
rickiepark/math4ds
<개발자를 위한 필수 수학>(한빛미디어, 2024)의 코드 저장소 |
|
Emerging |
| 23 |
pabloinsente/math-app-ml
Essential mathematics for applied machine learning and data science |
|
Emerging |
| 24 |
Renatochaz/Mathematics_for_Machine_Learning
Notes and step-by-step exercises resolution to aid students learning the... |
|
Emerging |
| 25 |
chuksoo/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
This repository contains notes, slides, labs, assignments and projects for... |
|
Emerging |
| 26 |
Sarah111-AHM/StatML-Study-
collaboratively curated repository compiling and synthesizing lectures... |
|
Emerging |
| 27 |
LoyumM/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Non-credit online course by DeepLearning.AI |
|
Emerging |
| 28 |
hongxin/csmath-2019
This mathematics course is taught for the first year Ph.D. students of... |
|
Emerging |
| 29 |
hongxin/CSMATH
This mathematics course is taught for the first year Ph.D. students of... |
|
Emerging |
| 30 |
RiazML/math-for-llms
Complete mathematics curriculum for AI/ML/LLM - from foundations to research... |
|
Emerging |
| 31 |
adderbyte/Math_For_AI
Mathematical Materials for AI/Machine Learning/Studies |
|
Emerging |
| 32 |
hongxin/csmath-2022
This mathematics course is taught for the first year Ph.D. students of... |
|
Emerging |
| 33 |
hongxin/csmath-2021
This mathematics course is taught for the first year Ph.D. students of... |
|
Emerging |
| 34 |
rohanmistry231/Mathematics-for-Machine-Learning-Books
A curated collection of books, notes, and resources focused on mathematical... |
|
Emerging |
| 35 |
RussellDash332/DSA1101
DSA1101 resources, including my own solution to the PYPs |
|
Emerging |
| 36 |
JeffWang0325/Microsoft-DAT256X-Essential-Math-for-Machine-Learning-Python-Edition
Machine learning and AI are built on mathematical principles like Calculus,... |
|
Emerging |
| 37 |
IAMIQBAL/Mathematics-for-Machine-Learning-and-Data-Science
Coursera - Mathematics for Machine Learning and Data Science Specialization... |
|
Experimental |
| 38 |
Joakr95/streamlined-applied-math-curriculum
🧮 Master applied mathematics with this free, self-paced curriculum designed... |
|
Experimental |
| 39 |
yashsavani/Advanced-Foundations-of-ML
A curated list of references to help you get up to speed with the concepts... |
|
Experimental |
| 40 |
KhushiBhadange/Mathematics-for-Machine-Learning-and-Data-Science
This repository offers my learnings, reference solutions for developing... |
|
Experimental |
| 41 |
IEEE-FCIH-SB/Machine-Learning-Content-2025
Here is the content of ML committe in season 2025 |
|
Experimental |
| 42 |
santanu2908/linear-algebra-essentials
A beginner-friendly collection of Jupyter notebooks covering the essentials... |
|
Experimental |
| 43 |
CQULeaf/CUMCM-Resources
整合了数学建模国赛(CUMCM)备赛和比赛过程中使用到的所有关于模型建立、代码实现以及论文撰写相关的资料文件。 |
|
Experimental |
| 44 |
A-Ahmed-I/ML-Math
Essential ML math concepts and code. |
|
Experimental |
| 45 |
Andrew20371160/ML_Math_Foundations
This repo represents my journey of stepping into machine learning, this repo... |
|
Experimental |
| 46 |
byoung77/Machine-Learning-Notes
Mathematically focused notes on machine learning, covering theory,... |
|
Experimental |
| 47 |
diego446/linear-algebra
📚 Explore linear algebra concepts with this beginner-friendly guide,... |
|
Experimental |
| 48 |
Hamna-Munir/Math-For-Machine-Learning
A structured repository covering essential mathematics for machine learning,... |
|
Experimental |
| 49 |
santanu2908/calculus-essentials
A structured collection of Jupyter notebooks covering the essential concepts... |
|
Experimental |
| 50 |
terryyz/PyArmadillo
PyArmadillo: an alternative approach to linear algebra in Python |
|
Experimental |
| 51 |
Phantom-fs/Mathematics-for-Machine-Learning
MATHEMATICS FOR MACHINE LEARNING Coursera Specialization by IMPERIAL COLLEGE LONDON |
|
Experimental |
| 52 |
dodo47/Mathematics-of-Data-Science-2025
Lecture notes and additional material for the lecture "Mathematics of Data Science" |
|
Experimental |
| 53 |
Hamna-Munir/Advanced_DSA-for-ML
DSA-for-ML is a complete repository designed to teach Data Structures and... |
|
Experimental |
| 54 |
Kitsunp/kistmath-ai
Kistmat-AI is an advanced machine learning model designed to solve a wide... |
|
Experimental |
| 55 |
ash-akash/ml-dl-foundations
Research-oriented ML/DL foundations covering NumPy, Pandas, visualization,... |
|
Experimental |
| 56 |
tommasofacchin/mitx-micromasters-data-science
Personal study repository for the MITx MicroMasters in Statistics and Data... |
|
Experimental |
| 57 |
mlnjsh/math-foundations-for-ai
Essential mathematics for AI/ML practitioners — linear algebra, calculus,... |
|
Experimental |
| 58 |
krish-desai-123/Mathematics-and-Advanced-Statistics
🧮 A comprehensive 20-day learning track mastering Mathematics and Advanced... |
|
Experimental |
| 59 |
chandan578/From-Math-to-Models
A complete learning path from mathematical foundations to real-world models... |
|
Experimental |
| 60 |
GloriaShang/ModelGuide
An interactive mathematical modeling model guide for beginners and... |
|
Experimental |
| 61 |
ernestdolog/probability-theory
probability theory & statistics notes for AI/ML. 15 chapters, LaTeX... |
|
Experimental |
| 62 |
Kamau-Johnson/Probability-Statistics-for-Data-Science-and-Machine-Learning
This is a concise step by step handwritten notes for probability &... |
|
Experimental |
| 63 |
josue-rdgzcb/math-and-optimization-for-ml-foundations
Foundational math and optimization concepts for machine learning, focusing... |
|
Experimental |
| 64 |
PauloKarabyna/ml-foundations-day1
🔧 Set up a Python environment and practice linear algebra with NumPy while... |
|
Experimental |
| 65 |
aniray2908/ML-foundations-rebuild
A structured ML foundations sprint covering linear algebra, eigen/SVD/PCA... |
|
Experimental |
| 66 |
markoechevarria/math-to-ml
This repository details the mathematical core of Machine Learning, featuring... |
|
Experimental |
| 67 |
murigugitonga/math_4_ai
Mathematics for Artificial Intelligence and Machine Learning. |
|
Experimental |
| 68 |
contactvaibhavi/linear-algebra
Learning plan for core concepts |
|
Experimental |
| 69 |
Mathematics-for-ML/MIT-18.065-Linear-Algebra
Notes and codes for Matrix Methods In Data Analysis, Signal Processing, And... |
|
Experimental |
| 70 |
fahim-506/Maths-for-Data-Science
A structured math bootcamp covering Linear Algebra, Statistics, and Calculus... |
|
Experimental |
| 71 |
Mathforcoding/mathematics-for-machine-learning
Official code for the book "Mathematics for Machine Learning." Implements... |
|
Experimental |