tracel-ai / burn
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Why this job: says: deep learning framework; topics: neural-network, tensor, deep-learning, machine-learning, pytorch
What it does
Training and inference usually live in separate worlds. Models are typically trained in Python then exported to an open format like ONNX or optimized for production engines like vLLM, ONNX Runtime, or TensorRT. This export step is often brittle and lossy, ruling out complex architectures and advanced deployment use cases.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit yesterday
- Stars
- 16,268
- +35 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.22.1
- Released 23 days ago
- Built with
- Rust
- 100% of the code
Is it looked after?
- Contributors
- 21
- Last 90 days
- Issues
- 91% closed
- 149 still open
- Pull requests
- 3,679 merged
- 43 waiting
- Releases
- 46
- 21 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| Marco-Christiani / Zigrad | 198 | 49 days ago | LGPL-3.0 | No downloads |
More: languages, topics and project record
Languages
- Rust 100%
- Python <1%
- RenderScript <1%
Topics
- autodiff
- deep-learning
- machine-learning
- rust
- scientific-computing
- ndarray
- tensor
- neural-network
- pytorch
- cross-platform
- kernel-fusion
- onnx
Project record
- JobAI libraries and models
- StatusFeatured
- Commits3,789
- Forks1,126
- Watching92
- Stars in 28 days+184
- CreatedJul 18, 2022
- First seen by usNov 7, 2026
- CheckedNov 12, 2026