Hacker News
- How Julia ODE Solve Compile Time Was Reduced from 30 Seconds to 0.1 https://sciml.ai/news/2022/09/21/compile_time/ 16 comments
- SciML Ecosystem Update: Better Error Messages, Compile Times, and Documentation https://sciml.ai/news/2022/10/08/error_messages/ 2 comments julia
- How Julia ODE Solve Compile Time Was Reduced From 30 Seconds to 0.1 https://sciml.ai/news/2022/09/21/compile_time/ 16 comments julia
- DifferentialEquations.jl v7: New linear solver and preconditioner interface https://sciml.ai/news/2022/01/11/linearsolve_preconditioners/ 5 comments julia
- SciML Ecosystem Update: GalacticOptim, GlobalSensitivity, Tutorials, and Documentation https://sciml.ai/news/2021/02/05/galacticoptim/ 3 comments julia
- SciML Ecosystem Update: Bayesian Neural ODEs, Virtual Brownian Trees, Parallel Batching and More https://sciml.ai/news/2021/01/19/bayesian_neural_ode/ 2 comments julia
- SciML Ecosystem Update: Koopman Optimization Under Uncertainty, Non-Commutative SDEs, GPUs in R, and More https://sciml.ai/news/2020/09/05/koopman/ 7 comments julia
Linking pages
- No, Julia is not 34,000,000,000 times faster than Python | by Logan Kilpatrick | Nov, 2022 | JuliaZoid https://medium.juliazoid.com/no-julia-is-not-34-000-000-000-times-faster-than-python-f63e956313d7 31 comments
- Flux.jl is so flexible — Deep Learning in Julia | by Anshuman Mishra | Dec, 2022 | JuliaZoid https://juliazoid.com/fluxible-unet-c71e411c8b2d 4 comments
- Thoughts on using JAX and Julia - Julia Community 🟣 https://forem.julialang.org/jacobusmmsmit/thoughts-on-using-jax-and-julia-2f0b 1 comment
- SciML - NumFOCUS https://numfocus.org/project/sciml 1 comment
- Shadowing Methods for Forward and Adjoint Sensitivity Analysis of Chaotic Systems | FS https://frankschae.github.io/post/shadowing/ 1 comment
- AbstractDifferentiation.jl for AD-backend agnostic code | FS https://frankschae.github.io/post/abstract_differentiation/ 0 comments
- GitHub - mitmath/18S096SciML: 18.S096 - Applications of Scientific Machine Learning https://github.com/mitmath/18S096SciML 0 comments
- GitHub - SciML/HelicopterSciML.jl: Helicopter Scientific Machine Learning (SciML) Challenge Problem https://github.com/SciML/HelicopterSciML.jl 0 comments