Search Results for "privacy focused linux"

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.

Dynamics Explorer, (detool for short), is a program designed to let users explore dynamical systems, particularly focused on enabling mathematicians to improve the efficiency and quality of their research in the field of complex dynamics.

It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing.

MathFu is a small, header-only C++ math library optimized for games and real-time graphics on mobile and desktop. It provides fixed-size vector, matrix, and quaternion types with APIs that mirror the operations you actually use in inner loops—dot, cross, normalize, transforms, and projections. Implementations are carefully tuned to leverage SIMD instruction sets such as SSE and NEON while preserving a clean fallback path for portability. Because types are fixed at compile time, the compiler...

Multiplication Station will teach your child to add, subtract and multiply. All parameters configurable, like grid size and number ranges fonts and colors. Countdown timer keeps attention focused. High scores too.

[PROJECT MIGRATED TO GIT-HUB] OptLib is a library of nonlinear optimization routines focused on the use of stochastic methods, including Simulated Annealing, Genetic Algorithms, and Monte Carlo. Routines are parallelized using MPI.

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?)