numerical-methods
There are 2769 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
dingran/quant-notes
Quantitative Interview Preparation Guide, updated version here ==>
herbie-fp/herbie
Optimize floating-point expressions for accuracy
gridap/Gridap.jl
Grid-based approximation of partial differential equations in Julia
Proektsoftbg/Calcpad
Free and open source software for mathematical and engineering calculations.
kthohr/stats
A C++ header-only library of statistical distribution functions.
maroba/findiff
Python package for numerical derivatives and partial differential equations in any number of dimensions.
probabilistic-numerics/probnum
Probabilistic Numerics in Python.
lecopivo/SciLean
Scientific computing in Lean 4
ergenekonyigit/Numerical-Analysis-Examples
Numerical Analysis Implementations in Various Languages
ShiqinHuo/Numerical-Optimization-Books
Collected study materials in Numerical Optimization ANU@MATH3514(HPC)
Beliavsky/Fortran-code-on-GitHub
Directory of Fortran codes on GitHub, arranged by topic
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
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
MatMechLab/AsFem
Advanced Simulation kit based on Finite Element Method (AsFem)
chfenger/goNum
开源Go语言数值算法库(An open numerical library purely based on Go programming language)
vlvovch/PHYS6350-ComputationalPhysics
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
jialuechen/torchquant
PyTorch for Quantitative Finance : Payoffs are Activations
PolyMathOrg/PolyMath
Scientific Computing with Pharo
stephenhky/PyTDA
Topological Data Analysis in Python
cybergeek1943/MathFlow
Like `requests` for mathematical computing, making complex math feel simple.
PetrKryslUCSD/FinEtools.jl
Finite Element tools in Julia
reamat/CalculoNumerico
Escrita colaborativa de recursos educacionais abertos sobre cálculo numérico.
hpddm/hpddm
A framework for high-performance domain decomposition methods.
DataHaskell/dh-core
Functional data science
phelps-sg/python-bigdata
Data science and Big Data with Python