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Code for Tensorflow Machine Learning Cookbook
nlp machine-learning neural-network tensorflow svm genetic-algorithm linear-regression regression cnn ode classification rnn tensorboard packtpub tensorflow-cookbook tensorflow-algorithms kmeans-clustering
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
python r julia ode dde scientific dynamical-systems differential-equations differentialequations sde dae spde stochastic-differential-equations delay-differential-equations numerical stochastic-processes differential-algebraic-equations scientific-machine-learning neural-differential-equations sciml
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 automated transformations of differential equations
computer-algebra optimization julia ode symbolic dde differential-equations ordinary-differential-equations sde pde dae stochastic-differential-equations delay-differential-equations symbolic-computation nonlinear-programming equation-based scientific-machine-learning sciml symbolic-numerics acausal
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
deep-learning root-finding ode dynamical-systems ordinary-differential-equations dynamical-modeling ode-solver hamiltonian-dynamics implicit-models
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
machine-learning neural-network ode neural-networks partial-differential-equations differential-equations ordinary-differential-equations differentialequations pde pinn scientific-machine-learning neural-differential-equations scientific-ml scientific-ai sciml
Physics-Informed Neural networks for Advanced modeling
python machine-learning deep-learning modeling pytorch ode neural-networks differential-equations pde hacktoberfest pinn physics-informed pytorch-lightning physics-informed-neural-networks torch-geometric neural-operators equation-learning lightining
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
deep-learning time-series pypi pytorch artificial-intelligence ode scientific-computing neural-networks differential-equations mathematical-modelling odes pinn pde-solver initial-value-problem boundary-value-problem physics-informed-neural-networks
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
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
high-performance julia ode differential-equations ordinary-differential-equations adaptive differentialequations event-handling hacktoberfest scientific-machine-learning sciml
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
Convert julia objects to LaTeX equations, arrays or other environments.
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
simulation biology dsl julia systems-biology ode reaction-network differential-equations sde chemical-reactions gillespie-algorithm systems-biology-simulation rate-laws scientific-machine-learning sciml
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
ode dde differential-equations differentialequations sde dae sensitivity-analysis hacktoberfest adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml
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 hacktoberfest differential-algebraic-equations neural-ode scientific-machine-learning neural-differential-equations sciml
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
python benchmark ai julia matlab pytorch ode partial-differential-equations differential-equations differentialequations sde pde dae jax neural-ode scientific-machine-learning nerual-differential-equations sciml ai-for-science
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
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
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
deep-learning ode neural-networks partial-differential-equations differential-equations numerical-methods ode-solver solving-pdes pde-solver
🏆 A weekly updated ranked list of popular open-source libraries and tools for Power System Analysis.
simulation optimization optimizer ode power ordinary-differential-equations dae large-scale differential-algebraic-equations powerflow power-grids co-simulation power-system-analysis power-system power-system-simulation best-of best-of-list
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