JuliaDecisionFocusedLearning / ImplicitDifferentiation.jl
Automatic differentiation of implicit functions
Why this job: works in the areas we cover, but does not say which job it does
What it does
Implicit differentiation is useful to differentiate through two types of functions:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 147
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.4
- Released 6 days ago
- Built with
- Julia
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 82% closed
- 13 still open
- Pull requests
- 130 merged
- 1 waiting
- Releases
- 25
- 3 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| JuliaDiff / DifferentiationInterface.jl | 318 | 6 days ago | MIT | No downloads |
| FluxML / Zygote.jl | 1,582 | 2 days ago | Custom | No downloads |
| EnzymeAD / Enzyme.jl | 592 | 3 days ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Julia 100%
Topics
- autodiff
- automatic-differentiation
- implicit
- julia
- machine-learning
- optimization
Project record
- JobOther AI tools
- StatusListed
- Commits200
- Forks11
- Watching4
- Stars in 28 days+1
- CreatedMar 28, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026