FluxML / NNlib.jl
Neural Network primitives with multiple backends
Why this job: works in the areas we cover, but does not say which job it does
What it does
This package provides a library of functions useful for neural networks, such as softmax, sigmoid, batched multiplication, convolutions and pooling. Many of these are used by Flux.jl, which loads this package, but they may be used independently.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 259
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.9.59
- Released 4 days ago
- Built with
- Julia
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 85% closed
- 46 still open
- Pull requests
- 490 merged
- 16 waiting
- Releases
- 140
- 29 in the last year
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Julia 100%
- Python <1%
Topics
- machine-learning
- deep-learning
- julia
Project record
- JobOther AI tools
- StatusListed
- Commits1,712
- Forks139
- Watching13
- Stars in 28 days+1
- CreatedAug 21, 2017
- First seen by usNov 7, 2026
- CheckedNov 11, 2026