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.
GitHub repository with 387 stars and 84 forks.
Language: Julia
Topics: differentialequations, sensitivity-analysis, neural-ode, adjoint, backpropogation, neural-sde, ode, sde, dae, dde
Trending score 0.10, freshness score 1.00, stars gained +0, forks gained +0.
2026-06-15: 387 stars and 84 forks.
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.
GitHub repository with 3,120 stars and 249 forks.
Trending score: 1.26; stars gained: +5; forks gained: -1.
Language: Julia
Topics: differential-equations, differentialequations, julia, ode, sde, dae
Arrays with arbitrarily nested named components.
GitHub repository with 363 stars and 40 forks.
Trending score: 0.73; stars gained: +1; forks gained: +0.
Language: Julia
Topics: array, arrays, control-systems, controls, controls-and-dynamics, differential-equations
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
GitHub repository with 1,199 stars and 242 forks.
Trending score: 0.55; stars gained: +1; forks gained: -1.
Language: Julia
Topics: differential-equations, differentialequations, neural-differential-equations, scientific-ml, scientific-ai, partial-differential-equations
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
GitHub repository with 919 stars and 161 forks.
Trending score: 0.51; stars gained: +1; forks gained: +1.
Language: Julia
Topics: neural-ode, neural-sde, neural-pde, neural-dde, neural-differential-equations, stiff-ode
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
GitHub repository with 321 stars and 41 forks.
Trending score: 0.34; stars gained: +0; forks gained: +1.
Language: Julia
Topics: gpu, gpu-parallelism, differentialequations, differential-equations, ode, sde
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
GitHub repository with 660 stars and 263 forks.
Trending score: 0.24; stars gained: +0; forks gained: -1.
Language: Julia
Topics: adaptive, differential-equations, differentialequations, event-handling, hacktoberfest, high-performance
The Julia Programming Language
GitHub repository with 48,854 stars and 5,790 forks.
Trending score: 2.25; stars gained: +11; forks gained: +0.
Language: Julia
Topics: hacktoberfest, hpc, julia, julia-language, julialang, machine-learning
Reusable array functionality for Julia's various GPU backends.
GitHub repository with 439 stars and 101 forks.
Trending score: 1.30; stars gained: +4; forks gained: +2.
Language: Julia
Topics: gpu, hacktoberfest, julia
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.
GitHub repository with 3,120 stars and 249 forks.
Trending score: 1.26; stars gained: +5; forks gained: -1.
Language: Julia
Topics: differential-equations, differentialequations, julia, ode, sde, dae
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
GitHub repository with 1,637 stars and 256 forks.
Trending score: 1.09; stars gained: +3; forks gained: +1.
Language: Julia
Topics: acausal, computer-algebra, dae, dde, delay-differential-equations, differential-equations
GitHub repository with 17 stars and 2 forks.
Trending score: 1.02; stars gained: +6; forks gained: +0.
Language: Julia
Solid state detector field and charge drift simulation in Julia
GitHub repository with 165 stars and 54 forks.
Trending score: 0.95; stars gained: +3; forks gained: +0.
Language: Julia
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.
GitHub repository with 3,120 stars and 249 forks.
Trending score: 1.26; stars gained: +5; forks gained: -1.
Language: Julia
Topics: differential-equations, differentialequations, julia, ode, sde, dae
Arrays with arbitrarily nested named components.
GitHub repository with 363 stars and 40 forks.
Trending score: 0.73; stars gained: +1; forks gained: +0.
Language: Julia
Topics: array, arrays, control-systems, controls, controls-and-dynamics, differential-equations
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
GitHub repository with 1,199 stars and 242 forks.
Trending score: 0.55; stars gained: +1; forks gained: -1.
Language: Julia
Topics: differential-equations, differentialequations, neural-differential-equations, scientific-ml, scientific-ai, partial-differential-equations
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
GitHub repository with 919 stars and 161 forks.
Trending score: 0.51; stars gained: +1; forks gained: +1.
Language: Julia
Topics: neural-ode, neural-sde, neural-pde, neural-dde, neural-differential-equations, stiff-ode
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
GitHub repository with 321 stars and 41 forks.
Trending score: 0.34; stars gained: +0; forks gained: +1.
Language: Julia
Topics: gpu, gpu-parallelism, differentialequations, differential-equations, ode, sde
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
GitHub repository with 660 stars and 263 forks.
Trending score: 0.24; stars gained: +0; forks gained: -1.
Language: Julia
Topics: adaptive, differential-equations, differentialequations, event-handling, hacktoberfest, high-performance