| tensorflow/probability |
4,028 |
|
126 |
316 |
about 2 years ago |
51 |
November 20, 2023 |
652 |
apache-2.0 |
Jupyter Notebook |
| Probabilistic reasoning and statistical analysis in TensorFlow |
| Moataz-Elmesmary/Data-Science-Roadmap |
2,445 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| Data Science Roadmap from A to Z |
| 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 |
| mavam/stat-cookbook |
2,102 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
other |
TeX |
| :orange_book: The probability and statistics cookbook |
| orico/www.mlcompendium.com |
2,020 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
|
|
| The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook. |
| 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 |
| JuliaStats/Distributions.jl |
1,050 |
|
766 |
0 |
about 2 years ago |
0 |
January 02, 2021 |
403 |
other |
Julia |
| A Julia package for probability distributions and associated functions. |
| seeingtheory/Seeing-Theory |
1,043 |
|
0 |
0 |
about 7 years ago |
0 |
|
22 |
apache-2.0 |
HTML |
| A visual introduction to probability and statistics. |
| thomasnield/kotlin-statistics |
825 |
|
4 |
3 |
about 4 years ago |
7 |
December 27, 2018 |
15 |
apache-2.0 |
Kotlin |
| Idiomatic statistical operators for Kotlin |
