autograd-rs VS burn

Compare autograd-rs 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. (by tracel-ai)
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autograd-rs burn
1 8
0 7,020
- 10.2%
6.9 9.8
9 months ago about 20 hours 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.

autograd-rs

Posts with mentions or reviews of autograd-rs. We have used some of these posts to build our list of alternatives and similar projects.

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 2024-02-14.

What are some alternatives?

When comparing autograd-rs and burn you can also consider the following projects:

miniboosts - A collection of boosting algorithms written in Rust 🦀

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

corgi - A neural network, and tensor dynamic automatic differentiation implementation for Rust.

candle - Minimalist ML framework for Rust

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

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

rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

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

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]

hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

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