The fundamental package for scientific computing with Python.
- numpy
- python
47,133 repositories indexed
1–24 of 34 · Most stars
The fundamental package for scientific computing with Python.
Efficiently computes derivatives of NumPy code.
C++ implementation of the Python Numpy library
BLAS-like Library Instantiation Software Framework
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
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
MySQL Spatial Data Extension integration with Laravel.
Throw in the towel.
A collection of functions for statistical calculation written in Swift.
Chebfun: numerical computing with functions.
A C++ header-only library of statistical distribution functions.
A modern supercompiler for call-by-value functional languages
Yet Another LINQ to Objects for PHP [Simplified BSD]
Functional programming for modern Fortran
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
MoniGo is a performance monitoring library for Go apps, offering real-time insights into service-level and function-level metrics. With an intuitive UI, it enables developers to track and optimize performance. Get your Go app's dashboard up in just 10 seconds!
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
High performance computational platform in Python for the spectral Galerkin method
🔥 JMock is a high-performance data generation and simulation component library implemented in Java.
Solutions to In-Class questions, Problem Sets and Exams of MIT Mathematics for Computer Science 2015 (same as 2019 Open Learning Library)
A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
Neovim plugin to calculate mathematical expressions within a buffer with visual mode, functions and variable support.