| mathnet/mathnet-numerics |
3,322 |
|
1,335 |
444 |
about 2 years ago |
114 |
April 03, 2022 |
287 |
mit |
C# |
| Math.NET Numerics |
| markrogoyski/math-php |
2,280 |
|
36 |
23 |
over 2 years ago |
135 |
May 19, 2023 |
55 |
mit |
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 |
| jonkrohn/ML-foundations |
2,224 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science |
| amitkaps/hackermath |
1,339 |
|
0 |
0 |
over 8 years ago |
0 |
|
5 |
mit |
Jupyter Notebook |
| Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way |
| conradsnicta/armadillo-code |
439 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
|
| Armadillo: fast C++ library for linear algebra & scientific computing - https://arma.sourceforge.net |
| hrnbot/Basic-Mathematics-for-Machine-Learning |
418 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
apache-2.0 |
Jupyter Notebook |
| 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 |
| airalcorn2/Michael-s-Data-Science-Curriculum |
381 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
|
|
| This is the companion curriculum to my guide to becoming a data scientist. |
| fslaborg/FSharp.Stats |
193 |
|
0 |
15 |
over 2 years ago |
19 |
September 22, 2023 |
56 |
other |
F# |
| statistical testing, linear algebra, machine learning, fitting and signal processing in F# |
| safwank/Numerix |
162 |
|
2 |
1 |
almost 5 years ago |
15 |
April 14, 2020 |
1 |
mit |
Elixir |
| A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning |
| lauerfab/MLweb |
81 |
|
0 |
0 |
over 4 years ago |
0 |
|
8 |
gpl-2.0 |
JavaScript |
| Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab. |
