cob-webber VS burn

Compare cob-webber vs burn and see what are their differences.

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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cob-webber burn
4 34
6 4,845
- -
10.0 8.9
over 1 year ago 5 months ago
TypeScript 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.

cob-webber

Posts with mentions or reviews of cob-webber. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-21.

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 cob-webber and burn you can also consider the following projects:

perceptronCobol - A perceptron written in COBOL

candle - Minimalist ML framework for Rust

gnucobol-mode - GNU cobol mode for emacs

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

bevy - A refreshingly simple data-driven game engine built in Rust

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

trane - An automated practice system for learning complex skills

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

burn - Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

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

browsh - A fully-modern text-based browser, rendering to TTY and browsers

L2 - l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust