| 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 |
| valeman/awesome-conformal-prediction |
3,097 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
cc0-1.0 |
|
| A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries. |
| Moataz-Elmesmary/Data-Science-Roadmap |
2,445 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| Data Science Roadmap from A to Z |
| 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 |
| 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. |
| rbhatia46/Data-Science-Interview-Resources |
1,926 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
mit |
|
| A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently. |
| 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. |
| DrWaleedAYousef/Teaching |
802 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Mathematica |
| Teaching Materials for Dr. Waleed A. Yousef |
| tuangauss/DataScienceProjects |
604 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory. |
