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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 about a month 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 27 days 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 2 years 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
6,617 commits to master branch, last one 15 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
1,923 commits to master branch, last one 15 days 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 7 months ago
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Created
2018-04-21
216 commits to master branch, last one a day 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
3,466 commits to master branch, last one 15 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 about a month ago
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Created
2016-10-22
2,335 commits to master branch, last one 11 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
309 commits to main branch, last one 18 hours 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 about a year ago
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Created
2018-04-19
175 commits to master branch, last one a day 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 about a month 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 2 months 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
751 commits to master branch, last one 15 days 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 about a month 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 3 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