numerical-methods
There are 2322 repositories under numerical-methods topic.
google/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
gopherdata/gophernotes
The Go kernel for Jupyter notebooks and nteract.
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
fortran-lang/stdlib
Fortran Standard Library
KratosMultiphysics/Kratos
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.
mpmath/mpmath
Python library for arbitrary-precision floating-point arithmetic
herbie-fp/herbie
Optimize floating-point expressions for accuracy
dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
gridap/Gridap.jl
Grid-based approximation of partial differential equations in Julia
kthohr/stats
A C++ header-only library of statistical distribution functions.
probabilistic-numerics/probnum
Probabilistic Numerics in Python.
maroba/findiff
Python package for numerical derivatives and partial differential equations in any number of dimensions.
ergenekonyigit/Numerical-Analysis-Examples
Numerical Analysis Implementations in Various Languages
Proektsoftbg/Calcpad
Free and open source software for mathematical and engineering calculations.
luping-liu/PNDM
The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022)
ZichaoLong/PDE-Net
PDE-Net: Learning PDEs from Data
lecopivo/SciLean
Scientific computing in Lean 4
ShiqinHuo/Numerical-Optimization-Books
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
analysiscenter/pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
czekster/markov
Materials for book: "Markov Chains for programmers"
clawpack/riemann_book
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
iheartla/iheartla
compilable markdown for linear algebra
chfenger/goNum
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
MatMechLab/AsFem
Advanced Simulation kit based on Finite Element Method (AsFem)
PolyMathOrg/PolyMath
Scientific Computing with Pharo
stephenhky/PyTDA
Topological Data Analysis in Python
jialuechen/quantorch
PyTorch for Derivatives Pricing
PetrKryslUCSD/FinEtools.jl
Finite Element tools in Julia
DataHaskell/dh-core
Functional data science
hpddm/hpddm
A framework for high-performance domain decomposition methods.
reamat/CalculoNumerico
Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.
phelps-sg/python-bigdata
Data science and Big Data with Python
narimiran/double_pendulum
Animations of random double pendulums
Fortran-FOSS-Programmers/FOODIE
Fortran Object-Oriented Differential-equations Integration Environment, FOODIE
jambo6/neuralRDEs
Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)