Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
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A Python-embedded modeling language for convex optimization problems.
High-performance TensorFlow library for quantitative finance.
C++ implementation of the Python Numpy library
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
POT : Python Optimal Transport
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, Matlab/Octave, Julia or Javascript
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
A Python native dynamical system simulation framework in the block diagram paradigm.
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
A framework for high-performance domain decomposition methods.
:dart: Accurate sums and dot products for Python.
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.