burn VS Enzyme

Compare burn vs Enzyme and see what are their differences.

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burn Enzyme
9 16
7,834 1,204
5.7% 2.5%
9.8 9.7
6 days ago 4 days ago
Rust LLVM
Apache License 2.0 GNU General Public License v3.0 or later
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.

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 2024-04-26.

Enzyme

Posts with mentions or reviews of Enzyme. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-06.
  • Show HN: Curve Fitting Bezier Curves in WASM with Enzyme Ad
    1 project | news.ycombinator.com | 13 Oct 2023
    Automatic differentiation is done using https://enzyme.mit.edu/
  • Ask HN: What Happened to TensorFlow Swift
    1 project | news.ycombinator.com | 27 May 2023
    lattner left google and was the primary reason they chose swift, so they lost interest.

    if you're asking from an ML perspective, i believe the original motivation was to incorporate automatic differentiation in the swift compiler. i believe enzyme is the spiritual successor.

    https://github.com/EnzymeAD/Enzyme

  • Show HN: Port of OpenAI's Whisper model in C/C++
    9 projects | news.ycombinator.com | 6 Dec 2022
    https://ispc.github.io/ispc.html

    For the auto-differentiation when I need performance or memory, I currently use tapenade ( http://tapenade.inria.fr:8080/tapenade/index.jsp ) and/or manually written gradient when I need to fuse some kernel, but Enzyme ( https://enzyme.mit.edu/ ) is also very promising.

    MPI for parallelization across machines.

  • Do you consider making a physics engine (for RL) worth it?
    3 projects | /r/rust | 8 Oct 2022
    For autodiff, we are currently working again on publishing a new Enzyme (https://enzyme.mit.edu) Frontend for Rust which can also handle pure Rust types, first version should be done in ~ a week.
  • What is a really cool thing you would want to write in Rust but don't have enough time, energy or bravery for?
    21 projects | /r/rust | 8 Jun 2022
    Have you taken a look at enzymeAD? There is a group porting it to rust.
  • The Julia language has a number of correctness flaws
    19 projects | news.ycombinator.com | 16 May 2022
    Enzyme dev here, so take everything I say as being a bit biased:

    While, by design Enzyme is able to run very fast by operating within the compiler (see https://proceedings.neurips.cc/paper/2020/file/9332c513ef44b... for details) -- it aggressively prioritizes correctness. Of course that doesn't mean that there aren't bugs (we're only human and its a large codebase [https://github.com/EnzymeAD/Enzyme], especially if you're trying out newly-added features).

    Notably, this is where the current rough edges for Julia users are -- Enzyme will throw an error saying it couldn't prove correctness, rather than running (there is a flag for "making a best guess, but that's off by default"). The exception to this is garbage collection, for which you can either run a static analysis, or stick to the "officially supported" subset of Julia that Enzyme specifies.

    Incidentally, this is also where being a cross-language tool is really nice -- namely we can see edge cases/bug reports from any LLVM-based language (C/C++, Fortran, Swift, Rust, Python, Julia, etc). So far the biggest code we've handled (and verified correctness for) was O(1million) lines of LLVM from some C++ template hell.

    I will also add that while I absolutely love (and will do everything I can to support) Enzyme being used throughout arbitrary Julia code: in addition to exposing a nice user-facing interface for custom rules in the Enzyme Julia bindings like Chris mentioned, some Julia-specific features (such as full garbage collection support) also need handling in Enzyme.jl, before Enzyme can be considered an "all Julia AD" framework. We are of course working on all of these things (and the more the merrier), but there's only a finite amount of time in the day. [^]

    [^] Incidentally, this is in contrast to say C++/Fortran/Swift/etc, where Enzyme has much closer to whole-language coverage than Julia -- this isn't anything against GC/Julia/etc, but we just have things on our todo list.

  • Jax vs. Julia (Vs PyTorch)
    4 projects | news.ycombinator.com | 4 May 2022
    Idk, Enzyme is pretty next gen, all the way down to LLVM code.

    https://github.com/EnzymeAD/Enzyme

  • What's everyone working on this week (7/2022)?
    15 projects | /r/rust | 14 Feb 2022
    I'm working on merging my build-tool for (oxide)-enzyme into Enzyme itself. Also looking into improving the documentation.
  • Wsmoses/Enzyme: High-performance automatic differentiation of LLVM
    1 project | news.ycombinator.com | 22 Jan 2022
  • Trade-Offs in Automatic Differentiation: TensorFlow, PyTorch, Jax, and Julia
    7 projects | news.ycombinator.com | 25 Dec 2021
    that seems one of the points of enzyme[1], which was mentioned in the article.

    [1] - https://enzyme.mit.edu/

    being able in effect do interprocedural cross language analysis seems awesome.

What are some alternatives?

When comparing burn and Enzyme you can also consider the following projects:

dfdx - Deep learning in Rust, with shape checked tensors and neural networks

Zygote.jl - 21st century AD

candle - Minimalist ML framework for Rust

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

wonnx - A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

tch-rs - Rust bindings for the C++ api of PyTorch.

Lux.jl - Elegant & Performant Scientific Machine Learning in Julia

rust-mlops-template - A work in progress to build out solutions in Rust for MLOPs

linfa - A Rust machine learning framework.

llama2.rs - A fast llama2 decoder in pure Rust.

faust - Functional programming language for signal processing and sound synthesis

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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