Play with fluids in your browser (works even on mobile)
- fluid
- webgl
- simulation
- gpu
47,133 repositories indexed
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Play with fluids in your browser (works even on mobile)
Math.NET Numerics
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Owl - OCaml Scientific Computing @ https://ocaml.xyz
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
A simple script for fracturing polygons. Also adds nice helper functions for polygons like calculateArea, triangulate, getRandomPointsInPolygon, getBoundingRect)
Universal cheminformatics toolkit, utilities and database search tools
Schema and data analyzer for MongoDB written in Go.
Zero-dependency 128-bit fixed-point decimal for Go. Exact SQL NUMERIC / PostgreSQL semantics, no heap allocation, no panics — built for money, ledgers and banking arithmetic.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
tiny linear interpolation library for go
Data logistics system enabling real-time pathogen surveillance. Built for the Seattle Flu Study.
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.