SciML/DifferentialEquations.jl
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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.
10 mentions on Hacker News by 6 people: 1 story, 9 comments · first 2017-10-27 · latest 2025-09-19
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…world[1]. It's written in julia, and it is very widely used, and known to be state of the art. [1] https://github.com/SciML/DifferentialEquations.jl
comment by eigenspace · 2025-09-19 · in Automatic differentiation can be incorrect -
…working on it at JuliaCon 2021, where it was at 22 seconds. See the issue that started the work: https://github.com/SciML/DifferentialEquations.jl/issues/786 . As you could see from the tweet, it's now at 0.1 seconds. That has been within…
comment by ChrisRackauckas · 2022-09-08 · in From Common Lisp to Julia -
…usage has seen compile times drop from 22 seconds to 3 seconds over the last few months. https://github.com/SciML/DifferentialEquations.jl/issues/786
comment by ChrisRackauckas · 2021-12-01 · in Julia 1.7 Highlights -
…user" issues so far. We are starting to do a big push to clean up things like compile times ( https://github.com/SciML/DifferentialEquations.jl/issues/786 ), improve the documentation, throw better errors, support older versions longer,…
comment by ChrisRackauckas · 2021-10-21 · in Composability in Julia: Implementing Deep Equilibrium Models via Neural ODEs -
…[1] https://github.com/jeff-regier/Celeste.jl [2] https://computing.llnl.gov/projects/sundials [3] https://github.com/SciML/DifferentialEquations.jl
comment by cbkeller · 2020-10-11 · in CSV Reader Benchmarks: Julia Reads CSVs 10-20x Faster than Python and R -
…blog post doesn't seem to link to it, here's a link to the actual DifferentialEquations.jl repo: https://github.com/JuliaDiffEq/DifferentialEquations.jl
comment by eigenspace · 2019-05-09 · in Diffeq.jl v6.4: Full GPU ODEs, Neural ODEs with Batching on GPUs, and More -
…with either no or minimal allocations, for example [3]. [1] https://github.com/FluxML/Flux.jl [2] https://github.com/JuliaDiffEq/DifferentialEquations.jl [3] https://juliacomputing.com/case-studies/mit-robotics.html
comment by ddragon · 2019-04-22 · in Embracing Swift for Deep Learning -
…Python package management is notoriously rough, which is why we are excising it from DiffEq v6.0 ( https://github.com/JuliaDiffEq/DifferentialEquations.jl/issu... ).
comment by ChrisRackauckas · 2019-01-28 · in Julia v1.1 Release Notes -
…following very closely recently but there has been some active native implementation work such as: https://github.com/JuliaDiffEq/DifferentialEquations.jl
comment by ska · 2017-10-27 · in High-Performance GPU Computing in the Julia Programming Language