Open Source Linux Mathematics Software - Page 70

PyMC is a Python library for probabilistic programming focused on Bayesian statistical modeling and machine learning. Built on top of computational tools like Aesara and NumPy, PyMC allows users to define models using intuitive syntax and perform inference using MCMC, variational inference, and other advanced algorithms. It’s widely used in scientific research, data science, and decision modeling.

PyMaTi is a simple and easy to use GUI for numerical and scientific computing in Python. It surrounds well know packages NumPy and Matplotlib and provides possibility to immediately play with numerical python from intuitive user interface.

PyNaC is a Python package for coordinate-free symbolic math, based on Geometric Algebra (Clifford Algebra) and Geometric Calculus (Clifford Analysis).

PyParticles is an opensource particles simulation tool box entirely written in python. It support the most popular integrations methods and the most relevant forces model. It also offer a nice looking OpneGL interface or at your preference a Matplotlib based GUI. PyParticles as a forces models implements Gravity, spring, constant force and electrostatic and the user defined vector field force. As a integrations method it includes Euler, Midpoint, Runge Kutta, Störmer Verlet and Leap frog.

A module containing python wrappers for the SUite of Non-linear DIfferential/ALgebraic Solvers (SUNDIALS), using ctypes.

PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that currently provides compilation via C, JAX, and Numba. Based on one of the most widely-used Python tensor libraries: Theano.

It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of an easy-to-use mini-batch loader for many small and single giant graphs, a large number of common benchmark datasets (based on simple interfaces to create your own), and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. We have outsourced a lot of functionality of PyTorch Geometric to other packages, which needs to be additionally installed. These packages come with their own CPU and GPU kernel implementations based on C++/CUDA extensions. We do not recommend installation as root user on your system python. Please setup an Anaconda/Miniconda environment or create a Docker image. We provide pip wheels for all major OS/PyTorch/CUDA combinations.

Tk-based standalone graphing system and extensible graphing library with a huge range of 2d modes (maybe 3d soon?) written in Python (Python/Tk are 100% cross platform)

PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries.

Python extension module based on C-XSC (C++ Language eXtensions for Scientific Computation) and the associated Toolbox. Provides a real and complex interval arithmetic with verified results for numerical applications.

A collection of modules and enduser tools designed to help design, test and use system models. While my research (hence, the examples) is focused on hydro-ecological systems, the program can be used on any system characterized by ODEs (and soon PDEs?)

An Expert System for exploring and solving math and logic equation using XML modules for expansion.

:: Pythia :: This is a high quality fast "true random" number generator / shuffling system. This means that Pythia never ever repeats the same numbers again regardless of how many tests you do. This also means that it never generates any numbers in a predictable order no matter how many times you refresh. Pythia solves a great problem and is by far the best solution out there. How to use: var my_pythia = new pythia(); Pythia API: .generate - Generate a new random number. .reset - Reset and enable to restart and -probably- regenerate same numbers. Enjoy!

This is a Python package for general Bayesian inference.

Functions to convert to and from decimal to Canonical Signed Digit representation. Handles fractional numbers. Useful for multiplierless hardware blocks on ASICs, FPGAs etc.

Moved to Google Code, see http://code.google.com/p/pythonequations/downloads/list

The Python Genetic Programming Project implements a Genetic Programming System a la J Koza in Python.

This project is a python module containing functions to do with matricies. The functions allow all of the standard matrix operations plus a few extras.

The main goal of this project was developing phase-field simulations of lithium dendrite growth with FEniCS programmed in Python. The problem was based in the grand potential-based model of Zijian Hong and Venkatasubramanian Viswanathan (https://doi.org/10.1021/acsenergylett.8b01009) . Some simpler examples were developed before for a first approach with FEniCS: heat equation and combustion model.

A cross-platform cellular automaton facility. Implements simulation and visualization of multi-dimensional cellural automatas locally or in distributed mode.

Fractals explorer which using GCC or my own evaluator for formulas compiling. Also QFractals support biomorphs colouring.

QMC Logic Minimizer is a versatile application for fast simplifying truth and reduce lines tables. This program offers a comfortable user interface for generating and minimizing of the combinational logic functions. It is unique for its possibility of minimizing several functions at the same time. This program is intended for practical digital devices constructors as well as formal scholars and academics. Features: - You can minimize up to 16 input variables and up to 16 output variables. - You can also reduce the number of table rows. - It allows you to name the input and output variables. - The table can be exported to HTML file and then you can use it in e.g. MS Word. - This program provides a comfortable interface, you can change fonts and colors. - It works on MS Windows, GNU/Linux, Mac OS.

QMPlot is a mathematical function plotter written in C++ using Qt toolkit. Project moved to https://github.com/piotrdz/qmplot.

Based on MinimPy (http://sourceforge.net/projects/minimpy/), QMinim is a web-based minimization application, for allocation of subject to different arms of a clinical trial. It is an alternative to randomization, with the advantage of balancing arms of trial with respect to preselected prognostic factors. All aspects of minimization procedure including treatments, factors, minimization protocole, and including a preload can be customized using QMinim.

QPlot - an Advanced Mathematical Calculator Includes: natural-style input, 2-D and 3-D graphing, differentiating, integrating, equation solving, C-like PROGRAMMING, and a lot more! What's most exciting, it is EXTENSIBLE!