#
sde
Here are 107 public repositories matching this topic...
bug
Something isn't working
documentation
Improvements or additions to documentation
good first issue
Good for newcomers
Open
To sort companies according to categories (fintech, edtech, finance, banks etc) see guidelines.md
4
Kaustubh-Natuskar
commented
Sep 18, 2021
this will take a bit longer time. first, we have to add links to all companies.
enhancement
New feature or request
help wanted
Extra attention is needed
good first issue
Good for newcomers
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components
python
r
julia
ode
dde
partial-differential-equations
dynamical-systems
differential-equations
differentialequations
sde
pde
dae
spde
stochastic-differential-equations
delay-differential-equations
stochastic-processes
differential-algebraic-equations
scientific-machine-learning
neural-differential-equations
sciml
-
Updated
Jan 11, 2022 - Julia
traversaro
commented
Jan 23, 2022
If I run the copy&paste examples, such as https://mtk.sciml.ai/stable/tutorials/acausal_components/ :
using ModelingToolkit, Plots, DifferentialEquations
@variables t
@connector function Pin(;name)
sts = @variables v(t)=1.0 i(t)=1.0 [connect = Flow]
ODESystem(Equation[], t, sts, []; name=name)
end
function Ground(;name)
@named g = Pin()
eqs = [g.v ~ 0]
good first issue
Good for newcomers
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
reinforcement-learning
robotics
optimization
lab
openai
gym
hyperparameter-optimization
rl
sde
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
pybullet-environments
tuning-hyperparameters
-
Updated
May 10, 2022 - Python
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
python
r
julia
ode
dde
partial-differential-equations
differential-equations
ordinary-differential-equations
differentialequations
sde
pde
dae
stochastic-differential-equations
hacktoberfest
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
-
Updated
Apr 9, 2022 - CSS
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
ode
dde
differential-equations
ordinary-differential-equations
numba
differentialequations
sde
dae
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
sdes
scientific-machine-learning
sciml
-
Updated
Jan 14, 2022 - Python
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software
biology
dsl
systems-biology
ode
reaction-network
differential-equations
sde
chemical-reactions
gillespie-algorithm
systems-biology-simulation
rate-laws
scientific-machine-learning
sciml
-
Updated
May 5, 2022 - Julia
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
julia
partial-differential-equations
differential-equations
fdm
differentialequations
sde
pde
stochastic-differential-equations
matrix-free
finite-difference-method
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
-
Updated
Apr 27, 2022 - Julia
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
ode
dde
partial-differential-equations
differential-equations
ordinary-differential-equations
differentialequations
sde
pde
dae
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
neural-ode
scientific-machine-learning
neural-differential-equations
sciml
-
Updated
May 7, 2022 - Julia
Benchmarks for scientific machine learning (SciML) software and differential equation solvers
benchmark
ode
dde
partial-differential-equations
differential-equations
differentialequations
sde
pde
dae
neural-ode
scientific-machine-learning
stiff-odes
stiff-sdes
nerual-differential-equations
sciml
-
Updated
Apr 29, 2022 - Julia
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
ode
dde
differential-equations
sde
dae
hacktoberfest
neural-ode
scientific-machine-learning
sciml
physics-informed-learning
-
Updated
May 7, 2022 - Julia
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
random
stochastic
noise
differential-equations
adaptive
differentialequations
sde
stochastic-differential-equations
sode
ito
hacktoberfest
solvers
stochastic-processes
stratonovich
random-differential-equations
rode
rde
scientific-machine-learning
sciml
-
Updated
May 7, 2022 - Julia
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.
ode
dde
differentialequations
sde
dae
sensitivity-analysis
hacktoberfest
adjoint
backpropogation
neural-ode
scientific-machine-learning
neural-sde
sciml
-
Updated
May 10, 2022 - Julia
New home of Swift Development Environment for VS Code
-
Updated
Apr 9, 2022 - TypeScript
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
gpu
ode
dde
differential-equations
differentialequations
sde
dae
neural-ode
scientific-machine-learning
neural-differential-equations
gpu-parallelism
sciml
-
Updated
Apr 12, 2022 - Julia
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
ode
dde
differential-equations
ordinary-differential-equations
sde
dae
stochastic-differential-equations
delay-differential-equations
differential-algebraic-equations
scientific-machine-learning
sciml
-
Updated
Aug 10, 2021 - R
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
julia
ode
dde
probabilistic-programming
differential-equations
stan
ordinary-differential-equations
sde
dae
stochastic-differential-equations
neural-ode
scientific-machine-learning
neural-differential-equations
scientific-ml
scientific-ai
sciml
-
Updated
Dec 3, 2021 - Julia
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
machine-learning
research
reinforcement-learning
experimental
robotics
pytorch
openai
gym
reinforcement-learning-algorithms
rl
sde
stable-baselines
gsde
-
Updated
May 8, 2022 - Python
A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.
julia
bayesian-inference
sde
mcmc
stochastic-differential-equations
diffusion
ornstein-uhlenbeck
brownian-motion
levy-process
vasicek
diffusion-processes
simulating-diffusion-bridges
gamma-process
-
Updated
Jan 27, 2022 - Jupyter Notebook
Devansh-Maurya
commented
Oct 9, 2020
Add more design patterns that are currently not present in the repo. Please mention here if you want any pattern to be added. Required language is Kotlin
Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
simulation
matlab
random
stochastic
noise
dynamical-systems
sde
stochastic-differential-equations
numerical-integration
stochastic-processes
-
Updated
Sep 30, 2020 - MATLAB
Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran
fortran
ode
integral
ordinary-differential-equations
linear-equations
nonlinear-equations
numerical-methods
sde
stochastic-differential-equations
plot-fortran
non-uniform-random-variate
quadrature-integration
-
Updated
Mar 25, 2021 - Fortran
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
ssa
ode
stochastic
differential-equations
sde
gillespie
jump-diffusion
neural-ode
scientific-machine-learning
neural-differential-equations
scientific-ml
scientific-ai
hybrid-differential-equation
stochastic-jump-equations
sciml
-
Updated
May 6, 2022 - Julia
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
models
ode
dde
differential-equations
differentialequations
sde
dae
multiscale
neural-ode
scientific-machine-learning
neural-differential-equations
scientific-ml
scientific-ai
hybrid-differential-equations
sciml
-
Updated
Dec 22, 2021 - Julia
Python package used for generating HTML reports about the contents of Esri geodatabases.
python
sql
arcgis
reporting
gis
gdal
ogr
html-report
arcgis-desktop
sde
esri
arcpy
geodatabase
arcgis-pro
arcgis-python
arcsde
-
Updated
May 28, 2019 - Python
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
-
Updated
Mar 4, 2022 - Julia
A standard library of components to model the world and beyond
julia
ode
scientific-computing
modelica
differential-equations
ordinary-differential-equations
sde
sciml
blockmodels
scientific-machine-learrning
acausal
-
Updated
May 9, 2022 - Julia
The SciML Scientific Machine Learning Software Organization Website
machine-learning
julia
julia-language
ode
dde
differential-equations
sde
dae
julialang
franklin
neural-ode
scientific-machine-learning
sciml
physics-informed-learning
-
Updated
Apr 23, 2022 - CSS
Improve this page
Add a description, image, and links to the sde topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sde topic, visit your repo's landing page and select "manage topics."
The documentation of DQN agent (https://stable-baselines3.readthedocs.io/en/master/modules/dqn.html) specifies that log_interval parameter is "The number of timesteps before logging". However, when set to 1 (or any other value) the logging is not made at that pace but is instead made every log_interval episode (and not timesteps). In the example below this is made every 200 timesteps.