deepjavalibrary / djl
An Engine-Agnostic Deep Learning Framework in Java
Why this job: says: deep learning framework; topics: neural-network, autograd, tensorflow, deep-learning, machine-learning, pytorch
What it does
Deep Java Library (DJL) is an open-source, high-level, engine-agnostic Java framework for deep learning. DJL is designed to be easy to get started with and simple to use for Java developers. DJL provides a native Java development experience and functions like any other regular Java library.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 14 days ago
- Stars
- 4,860
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.39.0
- Released 23 days ago
- Built with
- Java
- 88% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 77% closed
- 219 still open
- Pull requests
- 2,388 merged
- 20 waiting
- Releases
- 41
- 5 in the last year
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More: languages, topics, project record and preview image
Languages
- Java 88%
- Rust 3%
- C++ 3%
- C 2%
Topics
- deep-learning
- neural-network
- ai
- java
- mxnet
- machine-learning
- deep-neural-networks
- ml
- autograd
- djl
- pytorch
- tensorflow
Project record
- JobAI libraries and models
- StatusListed
- Commits4,496
- Forks761
- Watching109
- Stars in 28 days+7
- CreatedOct 29, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026