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Updated
Oct 26, 2021 - Python
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sde
Here are 90 public repositories matching this topic...
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
python
machine-learning
reinforcement-learning
robotics
pytorch
toolbox
openai
gym
reinforcement-learning-algorithms
sde
baselines
stable-baselines
sb3
gsde
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
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Updated
Oct 18, 2021 - Julia
This repository contains opportunities for you to apply to more than 150 product base companies(NOT JUST FAANG ) & good start-ups.
engineering
ecommerce
jobs
edtech
fintech
opportunities
sde
hacktoberfest
faang
hacktoberfest2021
notjustfaang
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Updated
Oct 27, 2021
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
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Updated
Oct 16, 2021 - CSS
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
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Updated
Oct 27, 2021 - Python
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
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Updated
May 20, 2021 - Python
TorkelE
commented
Jul 26, 2021
The package currently exports these function names:
mm , mmr , hill , hillr , hillar.
To avoid these potentially overwriting other stuff people have decalred, they could be moved to some other sub package. They would then be imported using e.g.
using Catalyst.Functions
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
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Updated
Oct 22, 2021 - Julia
New home of Swift Development Environment for VS Code
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Updated
Oct 23, 2021 - TypeScript
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
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Updated
Oct 22, 2021 - 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
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Updated
Oct 20, 2021 - 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
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Updated
Oct 24, 2021 - 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
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Updated
Oct 14, 2021 - 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
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Updated
Oct 26, 2021 - Julia
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
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Updated
Aug 13, 2021 - 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
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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
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Updated
Aug 31, 2021 - Julia
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
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Updated
May 3, 2021 - Jupyter Notebook
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
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Updated
Sep 30, 2020 - MATLAB
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
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
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Updated
Mar 25, 2021 - Fortran
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
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Updated
Oct 23, 2021 - Python
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
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Updated
Sep 24, 2021 - 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
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Updated
Nov 30, 2020 - 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
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Updated
May 28, 2019 - Python
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
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Updated
Aug 19, 2021 - Julia
The SciML Scientific Machine Learning Software Organization Website
machine-learning
ode
dde
differential-equations
sde
dae
franklin
neural-ode
scientific-machine-learning
sciml
physics-informed-learning
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Updated
Oct 18, 2021 - CSS
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
sde
stochastic-processes
brownian-motion
wiener-process
noise-processes
scientific-machine-learning
neural-sde
sciml
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Updated
Jul 19, 2021 - Julia
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