burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. (by tracel-ai)
rust-mlops-template
A work in progress to build out solutions in Rust for MLOPs (by nogibjj)
| burn | rust-mlops-template | |
|---|---|---|
| 14 | 2 | |
| 10,308 | 347 | |
| 5.1% | 3.5% | |
| 9.8 | 2.2 | |
| 3 days ago | 3 months ago | |
| Rust | Rust | |
| Apache License 2.0 | Creative Commons Zero v1.0 Universal |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
burn
Posts with mentions or reviews of burn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-23.
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CubeCL: GPU Kernels in Rust for CUDA, ROCm, and WGPU
The need to build CubeCL came from the Burn deep learning framework (https://github.com/tracel-ai/burn), where we want to easily build algorithms like in CUDA with a real programming language, while also being able to integrate those algorithms inside a compiler at runtime to fuse dynamic graphs.
Since we don't want to rewrite everything multiple times, it also has to be multi-platform and optimal, so the feature set must be per-device, not per-language. I'm not aware of a tool that does that, especially in Rust (which Burn is written in).
- Burn v0.17: Deep Learning in Rust gets new back ends and improved kernel fusion
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Burn: The Future of Deep Learning in Rust
Burn is an emerging deep learning framework written in pure Rust that aims to provide a flexible, efficient, and safe environment for building and training neural networks. With its modular design and strong type system, Burn represents a significant step forward in bringing deep learning to the Rust ecosystem.
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Getting Started with Rust
7. Burn Burn is a dynamic deep-learning framework built with flexibility and efficiency in mind. If you're into AI or machine learning, this framework offers the ability to explore how Rust can power complex neural networks.
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3 years of fulltime Rust game development, and why we're leaving Rust behind
You can use libtorch directly via `tch-rs`, and at present I'm porting over to Burn (see https://burn.dev) which appears incredibly promising. My impression is it's in a good place, if of course not close to the ecosystem of Python/C++. At very least I've gotten my nn models training and running without too much difficulty. (I'm moving to Burn for the thread safety - their `Tensor` impl is `Sync` - libtorch doesn't have such a guarantee.)
Burn has Candle as one of its backends, which I understand is also quite popular.
- Burn: Deep Learning Framework built using Rust
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Transitioning From PyTorch to Burn
[package] name = "resnet_burn" version = "0.1.0" edition = "2021" [dependencies] burn = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11", features = ["ndarray"] } burn-import = { git = "https://github.com/tracel-ai/burn.git", rev = "75cb5b6d5633c1c6092cf5046419da75e7f74b11" } image = { version = "0.24.7", features = ["png", "jpeg"] }
- Burn Deep Learning Framework Release 0.12.0 Improved API and PyTorch Integration
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Supercharge Web AI Model Testing: WebGPU, WebGL, and Headless Chrome
Great!
For Burn project, we have WebGPU example and I was looking into how we could add automated tests in the browser. Now it seems possible.
Here is the image classification example if you'd like to check out:
https://github.com/tracel-ai/burn/tree/main/examples/image-c...
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Burn Deep Learning Framework 0.11.0 Released: Just-in-Time Automatic Kernel Fusion & Founding Announcement
Full Release Note: https://github.com/tracel-ai/burn/releases/tag/v0.11.0
rust-mlops-template
Posts with mentions or reviews of rust-mlops-template.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-11.
What are some alternatives?
When comparing burn and rust-mlops-template you can also consider the following projects:
candle - Minimalist ML framework for Rust
kord - A music theory binary and library for Rust / JS.
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
security_camera - Person detecting security camera monitor.
corgi - A neural network, and tensor dynamic automatic differentiation implementation for Rust.
azi - Show Azure information