mathigon / Fermat.js
Licence: mit
Mathematics and statistics library for TypeScript.
Stars: ✭ 74
Programming Languages
typescript
32286 projects
Projects that are alternatives of or similar to Fermat.js
Math Php
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Stars: ✭ 2,009 (+2614.86%)
Mutual labels: statistics, math, mathematics
Machine Learning Curriculum
Complete path for a beginner to become a Machine Learning Scientist!
Stars: ✭ 279 (+277.03%)
Mutual labels: statistics, math, mathematics
Stdlib
✨ Standard library for JavaScript and Node.js. ✨
Stars: ✭ 2,749 (+3614.86%)
Mutual labels: statistics, math, mathematics
Librmath.js
Javascript Pure Implementation of Statistical R "core" numerical libRmath.so
Stars: ✭ 425 (+474.32%)
Mutual labels: statistics, math, mathematics
Euler
The open-source computational framework for the Swift language
Stars: ✭ 37 (-50%)
Mutual labels: statistics, math, mathematics
Stats Maths With Python
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (+414.86%)
Mutual labels: statistics, mathematics
Math Worksheet Generator
Create basic addition, subtraction, multiplication and division practice questions with the answer sheet
Stars: ✭ 438 (+491.89%)
Mutual labels: math, mathematics
Math Toolbox
Lightweight and modular math toolbox
Stars: ✭ 71 (-4.05%)
Mutual labels: math, mathematics
Ruby Statistics
Ruby gem for some statistical operations without any statistical language dependency
Stars: ✭ 67 (-9.46%)
Mutual labels: statistics, math
Poisson blend
Seamless copy-and-paste of images with Poisson Blending.
Stars: ✭ 277 (+274.32%)
Mutual labels: math, mathematics
Teaching
Teaching Materials for Dr. Waleed A. Yousef
Stars: ✭ 435 (+487.84%)
Mutual labels: statistics, mathematics
Learn Something Every Day
📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->
Stars: ✭ 362 (+389.19%)
Mutual labels: math, mathematics
Basic Mathematics For Machine Learning
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Stars: ✭ 300 (+305.41%)
Mutual labels: statistics, mathematics
Swiftmath
Cross-platform math library with SIMD support
Stars: ✭ 30 (-59.46%)
Mutual labels: math, mathematics
Gap
Main development repository for GAP - Groups, Algorithms, Programming, a System for Computational Discrete Algebra
Stars: ✭ 447 (+504.05%)
Mutual labels: math, mathematics
Census Data Aggregator
Combine U.S. census data responsibly
Stars: ✭ 28 (-62.16%)
Mutual labels: statistics, math
Blog
About math, programming and procedural generation
Stars: ✭ 37 (-50%)
Mutual labels: math, mathematics
Pycm
Multi-class confusion matrix library in Python
Stars: ✭ 1,076 (+1354.05%)
Mutual labels: statistics, mathematics
Probability Theory
A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.
Stars: ✭ 25 (-66.22%)
Mutual labels: statistics, mathematics
Fermat.ts
Fermat.ts is a powerful mathematics and statistics library for TypeScript. It contains everything from number theory to random numbers, expression parsing and linear algebra classes. It was developed for Mathigon.org, an award-winning mathematics education project.
Features
Note: in version 0.6.0, all geometry classes and functions were moved to
@mathigon/euclid!
- Arithmetic:
nearlyEquals(),toWord(),toFraction(), … - Combinatorics:
factorial(),binomial(),permutations(),subsets() - Complex numbers:
Complex() - Cryptography:
caesarCipher(),vigenereCipher(),letterFrequency() - Matrices:
Matrix.product(),Matrix.determinant(),Matrix.inverse(), … - Number theory:
gcd(),isPrime(),generatePrime(),goldbach(), … - Numeric:
bisect(),integrate() - Random:
Random.shuffle(),Random.binomial(),Random.normalPDF(), … - Regression:
Regression.linear(),Regression.coefficient(), … - Statistics:
mean(),variance(),linearRegression(), … - Vector:
Vector()
Usage
First, install Fermat.ts from NPM using
npm install @mathigon/fermat
Now, simply import all functions and classes you need, using
import {Complex, gcd} from '@mathigon/fermat'
Contributing
We welcome community contributions: please file any bugs you find or send us pull requests with improvements. You can find out more on Mathigon.io.
Before submitting a pull request, you will need to sign the Mathigon Individual Contributor License Agreement.
Copyright and License
Copyright © Mathigon ([email protected])
Released under the MIT license
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].