Math Libraries

108 Components & Libraries

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Math Libraries

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

After some recent success of Bayesian methods in machine-learning competitions, I decided to investigate the subject again. Even with my mathematical background, it took me three straight-days of rea…

A community-maintained Python framework for creating mathematical animations.

The general usage of Manim is as follows: Some other useful flags include: The software is double-licensed under the MIT license, with copyright by 3blue1brown LLC (see LICENSE), and copyright by Man…

Open Machine Learning Course

mlcourse.ai is still in self-paced mode but we offer you Bonus Assignments with solutions for a contribution of $17/month. The idea is that you pay for ~1-5 months while studying the course materials…

pix2tex: Using a ViT to convert images of equations into LaTeX code.

The goal of this project is to create a learning based system that takes an image of a math formula and returns corresponding LaTeX code. To run the model you need Python 3.7+ Model checkpoints will …

C++ implementation of the Python Numpy library

The random module provides simple ways to create random arrays.

Code for A Programmer's Introduction to Mathematics

To install the requirements and run the examples, using pip and virtualenv (Python's standard packaging tools): To run the test suite: To build and run the code in the repository with docker, run

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

There are eight subjects in the curriculum, organized into four subject areas. See the "Machine Learning House" section below for detail on why these are the essential foundational subject areas: Lat…

Data Science Roadmap from A to Z

Pandas

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

The ROOT system provides a set of modules with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specializ…

A list of resources in different fields of Computer Science

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

These lecture notes are intended for introductory linear algebra courses, suitable for university students, programmers, data analysts, algorithmic traders and etc. The lectures notes are loosely bas…

Mirror of the Sage source tree -- please do not submit PRs here -- everything must be submitted via https://trac.sagemath.org/, though this may change soon! (see https://trac.sagemath.org/ticket/30363)

This repository used to be the user-facing mirror of the Sage source tree. As Sage development migrated on 2023-02-01 from https://trac.sagemath.org/ to our new repository on GitHub, https://github.com/sagemath/sage, we have renamed and archived this repository.

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

This project provides This repo is maintained by me :-) Thanks In the pull request you should Thanks. In the pull request you should Please note that your app should not require high compute power as…

Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.

A collection of Nayuki's program code to solve over 200 Project Euler math problems. Every solved problem has a program written in Java and usually Python. Some solutions also have Mathematica and Ha…

:spider_web: input/output for many mesh formats

There are various mesh formats available for representing unstructured meshes. meshio can read and write all of the following and smoothly converts between them: Install with one of with any of the …

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

We believe mastery of a certain machine learning concept/topic is achieved only when the answer to each of the following three questions is affirmative. Example ”roadmaps” shown below provide suggest…

Multi-class confusion matrix library in Python

Fig1. ConfusionMatrix Block Diagram After that, two scores are calculated for each confusion matrices, overall and class-based. The overall score is the average of the score of seven overall benchmar…

Python interface for igraph

igraph is a library for creating and manipulating graphs. It is intended to be as powerful (ie. fast) as possible to enable the analysis of large graphs. This repository contains the source code to t…

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

A comprehensive list of +180 YouTube Channels (in no particular order) for Data Science, Data Engineering, Machine Learning, Deep Learning, Artificial Intelligence, Computer Science, programming, sof…

CoCalc: Collaborative Calculation in the Cloud

The copyright of CoCalc is owned by SageMath, Inc., and the source code here is released under the GNU Affero General Public License version 3+ subject to the "Commons Clause" License Condition v1.0.…

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Thank you for reading and for being a supporter of Towards AI! Big thank you to C4H3I LLC for sponsoring us in June, 2022!

translate scientific papers in latex, especially arxiv papers

This is a project to translate LaTeX documents, especially scientific papers, from any language to any language. LaTeX expressions like math expressions are perfectly kept unchanged. LaTeX documents …

Pix In, Latex & Text Out. Recognize Chinese, English Texts, and Math Formulas from Images.

Major changes: Major changes: Pix2Text is very simple to use and the following is an example: Some examples: If you have successfully run the above example, the model has completed its automatic down…

:spider_web: Gmsh for Python

Codes: With you can access Gmsh's native file writer. pygmsh can optimize existing meshes, too. You can also use the command-line utility To run the pygmsh unit tests, check out this repository and …

A curated list of Best Artificial Intelligence Resources

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