Mathematics Libraries

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Mathematics Libraries

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.

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…

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!

: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

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

A repository of different Algorithms and Data Structures implemented in many programming languages.

Contributions are always welcome. Language doesn't matter. Just make sure you're implementing an algorithm. PRs are welcome. To begin developing, follow the structure: Algorithm-Type/algorithm-name/l…

A research tool for the Iterated Prisoner's Dilemma

A Python library with the following principles and goals: With Axelrod you: The library is tested on Python versions 3.8, 3.9, and 3.10. The simplest way to install is: To install from source: The fo…

:spider_web: Gmsh for Python

A math problem generator, created for the purpose of giving self-studying students and teaching organizations the means to easily get access to high-quality, generated math problems to suit their needs.

A math problem generator, created for the purpose of giving teachers and students the means to easily get access to random math exercises to suit their needs. The project can be install via pip Here …

3D transformations for Python.

A Python library for transformations in three dimensions. pytransform3d offers... pytransform3d is used in various domains, for example: Use pip to install the package from PyPI: or conda: Various pl…

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

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 . I am going to upload new material…

:spider_web: Mesh optimization, mesh smoothing.

Several mesh smoothing/optimization methods with one simple interface. optimesh on your machine and you're good to go. Example call: The left hand-side graph shows the distribution of angles (the gr…

:spider_web: A Python interface to CGAL's meshing tools

CGAL generates 2D meshes from linear constraints. You can write the mesh with pygalmesh provides out-of-the-box support for balls, cuboids, ellipsoids, tori, cones, cylinders, and tetrahedra. Try fo…

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