L2 VS burn

Compare L2 vs burn and see what are their differences.

L2

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust (by bilal2vec)

burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn] (by burn-rs)
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L2 burn
2 34
184 4,845
- -
0.0 8.9
over 1 year ago 5 months ago
Rust Rust
MIT License Apache License 2.0
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.

L2

Posts with mentions or reviews of L2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-06.

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 2023-08-08.

What are some alternatives?

When comparing L2 and burn you can also consider the following projects:

Owlyshield - Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).

candle - Minimalist ML framework for Rust

blindai - Confidential AI deployment with secure enclaves :lock:

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

Java-Machine-Learning - Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.

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

Graphite - 2D raster & vector editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.

tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]

wgpu - Cross-platform, safe, pure-rust graphics api.

bootloader - An experimental pure-Rust x86 bootloader

rust-gpu - 🐉 Making Rust a first-class language and ecosystem for GPU shaders 🚧

Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.