Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Probability | 4,028 | 126 | 316 | 3 months ago | 51 | November 20, 2023 | 652 | apache-2.0 | Jupyter Notebook | |
Probabilistic reasoning and statistical analysis in TensorFlow | ||||||||||
Awesome Conformal Prediction | 3,097 | 3 months ago | 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. | ||||||||||
Data Science Roadmap | 2,445 | 5 months ago | 3 | mit | ||||||
Data Science Roadmap from A to Z | ||||||||||
Ml Foundations | 2,224 | 10 months ago | 1 | mit | Jupyter Notebook | |||||
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science | ||||||||||
Www.mlcompendium.com | 2,020 | 3 months ago | ||||||||
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. | ||||||||||
Data Science Interview Resources | 1,926 | 8 months ago | 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. | ||||||||||
Hackermath | 1,339 | 6 years ago | 5 | mit | Jupyter Notebook | |||||
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way | ||||||||||
Distributions.jl | 1,050 | 766 | 3 months ago | January 02, 2021 | 403 | other | Julia | |||
A Julia package for probability distributions and associated functions. | ||||||||||
Teaching | 802 | a year ago | gpl-3.0 | Mathematica | ||||||
Teaching Materials for Dr. Waleed A. Yousef | ||||||||||
Datascienceprojects | 604 | 3 months ago | 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. |