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Collection of notebooks about quantitative finance, with interactive python code.
python
econometrics
heston-model
kalman-filter
levy-processes
option-pricing
brownian-motion
american-options
fourier-inversion
jupyter-notebooks
linear-regression
monte-carlo-methods
quantitative-finance
stochastic-processes
financial-engineering
financial-mathematics
linear-systems-equations
jump-diffusion-mertons-model
partial-differential-equations
stochastic-differential-equations
Created
2019-09-10
75 commits to master branch, last one 15 days ago
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equation...
r
dae
dde
ode
sde
spde
julia
sciml
python
numerical
scientific
dynamical-systems
stochastic-processes
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-05-11
1,400 commits to master branch, last one a day ago
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Created
2021-02-28
8 commits to main branch, last one about a year ago
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Created
2020-07-06
163 commits to master branch, last one about a year ago
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Created
2021-01-03
24 commits to main branch, last one 3 years ago
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and ...
dae
dde
ode
pde
sde
julia
sciml
acausal
symbolic
optimization
equation-based
computer-algebra
symbolic-numerics
symbolic-computation
nonlinear-programming
differential-equations
scientific-machine-learning
delay-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-02-27
6,439 commits to master branch, last one 20 hours ago
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
pinn
stiff-ode
neural-dde
neural-ode
neural-pde
neural-sde
neural-sdes
scientific-ai
scientific-ml
neural-networks
differentialequations
differential-equations
neural-jump-diffusions
physics-informed-learning
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
stochastic-differential-equations
Created
2018-12-26
1,919 commits to master branch, last one a day ago
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Created
2016-10-31
1,297 commits to master branch, last one about a year ago
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Created
2023-01-27
59 commits to main branch, last one 6 months ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
202 commits to master branch, last one 27 days ago
Generate realizations of stochastic processes in python.
Created
2017-02-17
111 commits to master branch, last one 2 years ago
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
dae
dde
ode
pde
sde
sciml
neural-ode
hacktoberfest
differentialequations
differential-equations
scientific-machine-learning
delay-differential-equations
neural-differential-equations
partial-differential-equations
ordinary-differential-equations
differential-algebraic-equations
stochastic-differential-equations
Created
2016-10-20
3,449 commits to master branch, last one 9 days ago
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
This repository has been archived
(exclude archived)
Created
2017-05-16
1,482 commits to master branch, last one about a year ago
Rectified Flow Inversion (RF-Inversion)
Created
2024-10-12
10 commits to main branch, last one 14 days ago
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created
2016-10-22
2,321 commits to master branch, last one 2 days ago
Example codes for the book Applied Stochastic Differential Equations
Created
2019-04-02
12 commits to master branch, last one 3 years ago
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Created
2021-02-04
48 commits to main branch, last one 2 years ago
📦 Python library for Stochastic Processes Simulation and Visualisation
Created
2022-09-07
290 commits to main branch, last one 5 months ago
Official Code Repository for the paper "Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations" (ICML 2022)
Created
2022-05-02
33 commits to master branch, last one 11 months ago
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created
2018-04-19
169 commits to master branch, last one 7 months ago
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
Created
2017-07-24
800 commits to master branch, last one 6 days ago
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
Created
2015-09-15
549 commits to master branch, last one 3 years ago
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
Created
2017-01-19
93 commits to master branch, last one 3 years ago
Python package to discover stochastic differential equations from time series data
Created
2020-03-30
495 commits to master branch, last one about a month ago
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Created
2019-04-27
181 commits to master branch, last one about a year ago
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Created
2016-10-28
749 commits to master branch, last one about a month ago
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Created
2016-10-31
424 commits to master branch, last one 13 days ago
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
Created
2024-01-20
11 commits to main branch, last one 2 months ago
Maximum Likelihood estimation and Simulation for Stochastic Differential Equations (Diffusions)
Created
2021-04-13
72 commits to master branch, last one about a year ago