| 1. | | Dyad 2.0: What Agentic AI Means for the Future of Computer Languages (juliahub.com) |
| 3 points by ChrisRackauckas 3 months ago | past |
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| 2. | | Agentic AI for Model-Based Engineering: How Dyad Ensures Correctness (juliahub.com) |
| 3 points by ChrisRackauckas 7 months ago | past |
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| 3. | | Why No Ode Solver Is Best (stochasticlifestyle.com) |
| 2 points by ChrisRackauckas 8 months ago | past |
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| 4. | | A guide to Gen AI / LLM vibecoding for expert programmers (stochasticlifestyle.com) |
| 128 points by ChrisRackauckas 9 months ago | past | 117 comments |
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| 5. | | Why Dyad?: A Perspective for Modelica Users (juliahub.com) |
| 3 points by ChrisRackauckas 11 months ago | past |
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| 6. | | Dyad: Making Hardware as Easy as Software (juliahub.com) |
| 3 points by ChrisRackauckas 11 months ago | past | 1 comment |
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| 7. | | HuggingFace deprecates TensorFlow and Jax support (twitter.com/lysandrejik) |
| 5 points by ChrisRackauckas 11 months ago | past |
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| 8. | | Machine learning with hard constraints: Neural Differential-Algebraic Equations (stochasticlifestyle.com) |
| 2 points by ChrisRackauckas 11 months ago | past |
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| 9. | | How chaotic is chaos? How some AI for Science / SciML overstates accuracy claims (stochasticlifestyle.com) |
| 4 points by ChrisRackauckas on May 26, 2025 | past |
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| 10. | | Compilation of Julia code for deployment in model-based engineering (arxiv.org) |
| 4 points by ChrisRackauckas on Feb 6, 2025 | past |
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| 11. | | Julia Developer Experience with Tim Holy – Julia Dispatch Podcast [video] (youtube.com) |
| 3 points by ChrisRackauckas on Nov 18, 2024 | past |
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| 12. | | Static Compilation of Julia with Jeff Bezanson – Julia Dispatch Podcast [video] (youtube.com) |
| 7 points by ChrisRackauckas on Nov 17, 2024 | past |
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| 13. | | Add –trim option for generating smaller binaries (jbytecode.github.io) |
| 3 points by ChrisRackauckas on Oct 12, 2024 | past |
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| 14. | | Semantic Versioning (Semver) is flawed, and Downgrade CI is required to fix it (stochasticlifestyle.com) |
| 4 points by ChrisRackauckas on Feb 11, 2024 | past | 1 comment |
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| 15. | | Julia SciML Lorenz equation solver staically compiled to WebAssembly (tshort.github.io) |
| 3 points by ChrisRackauckas on May 8, 2023 | past | 3 comments |
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| 16. | | Julia will cache precompiled binaries of packages v1.9 (twitter.com/vchuravy) |
| 4 points by ChrisRackauckas on Dec 28, 2022 | past |
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| 17. | | Show HN: Differentiable Programming on Discrete Stochastic Programs (twitter.com/chrisrackauckas) |
| 2 points by ChrisRackauckas on Oct 18, 2022 | past |
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| 18. | | Automatic Differentiation of Solvers vs. Analytical Adjoints: Which Is Better? (stochasticlifestyle.com) |
| 2 points by ChrisRackauckas on Oct 11, 2022 | past |
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| 19. | | Julia SciML Ecosystem Update: Better Error Messages, Compile Times, and Docs (sciml.ai) |
| 3 points by ChrisRackauckas on Oct 10, 2022 | past |
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| 20. | | Is Differentiable Programming Necessary? (stochasticlifestyle.com) |
| 3 points by ChrisRackauckas on Oct 4, 2022 | past |
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| 21. | | Julia Back-End for LFortran (LFortran – Julia Transpilation) (julialang.org) |
| 55 points by ChrisRackauckas on Sept 27, 2022 | past | 4 comments |
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| 22. | | How Julia ODE Solve Compile Time Was Reduced from 30 Seconds to 0.1 (sciml.ai) |
| 177 points by ChrisRackauckas on Sept 21, 2022 | past | 16 comments |
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| 23. | | Julia for Epidemiology (medium.com/raj.dandekar8) |
| 5 points by ChrisRackauckas on Aug 25, 2022 | past |
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| 24. | | Symbolic-Numeric Integration of Univariate Expressions via Sparse Regression (arxiv.org) |
| 12 points by ChrisRackauckas on Feb 1, 2022 | past | 6 comments |
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| 25. | | Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia (stochasticlifestyle.com) |
| 234 points by ChrisRackauckas on Dec 25, 2021 | past | 73 comments |
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| 26. | | Using machine learning to derive black hole motion from gravitational waves (phys.org) |
| 2 points by ChrisRackauckas on Nov 16, 2021 | past |
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| 27. | | Implications of Delayed Reopening in Controlling the Covid-19 Surge in USA (spj.sciencemag.org) |
| 3 points by ChrisRackauckas on Oct 29, 2021 | past | 2 comments |
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| 28. | | Composability in Julia: Implementing Deep Equilibrium Models via Neural ODEs (julialang.org) |
| 117 points by ChrisRackauckas on Oct 21, 2021 | past | 48 comments |
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| 29. | | Abstractdifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia (arxiv.org) |
| 2 points by ChrisRackauckas on Oct 1, 2021 | past | 2 comments |
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| 30. | | Abstractdifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia (arxiv.org) |
| 2 points by ChrisRackauckas on Sept 28, 2021 | past |
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| More |
