IRust
burn
| IRust | burn | |
|---|---|---|
| 3 | 34 | |
| 580 | 4,845 | |
| - | - | |
| 8.8 | 8.9 | |
| 7 days ago | 6 months ago | |
| Rust | Rust | |
| MIT License | Apache License 2.0 |
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.
IRust
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What are some stuff that Rust isn't good at?
irust?
- IRust: Cross Platform Rust REPL
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Val on Programming: What makes a good REPL?
Something I've been thinking a lot about for Rust is what can and should a REPL experience be for a compiled language (ie what are reasonable compromises).
There seem to be two repls that haven't gotten much traction:
- https://github.com/google/evcxr/blob/main/evcxr_repl/README....
- https://github.com/sigmaSd/IRust
There have been little and big nits that have held me back from wanting to push these further, including
- Bad defaults (having to opt-in to panic handling)
- Command syntax feeling out of place and likely not beginner friendly
- Limits on variable preservation
- Lack of introspection (at least irust as `:type`)
So far I've been punting on wanting to improve this area by instead focusing on polishing up a rust script solution in the hopes of getting it merged: https://github.com/epage/cargo-script-mvs
burn
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Burn 0.10.0 Released 🔥 (Deep Learning Framework)
Release Note: https://github.com/burn-rs/burn/releases/tag/v0.10.0
- Deep Learning Framework in Rust: Burn 0.10.0 Released
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Why Rust Is the Optimal Choice for Deep Learning, and How to Start Your Journey with the Burn Deep Learning Framework
The comprehensive, open-source deep learning framework in Rust, Burn, has recently undergone significant advancements in its latest release, highlighted by the addition of The Burn Book 🔥. There has never been a better moment to embark on your deep learning journey with Rust, as this book will guide you through your initial project, providing extensive explanations and links to relevant resources.
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Candle: Torch Replacement in Rust
Burn (deep learning framework in rust) has WGPU backend (WebGPU) already. Check it out https://github.com/burn-rs/burn. It was released recently.
- Burn – A Flexible and Comprehensive Deep Learning Framework in Rust
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Announcing Burn-Wgpu: New Deep Learning Cross-Platform GPU Backend
For more details about the latest release see the release notes: https://github.com/burn-rs/burn/releases/tag/v0.8.0.
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Are there any ML crates that would compile to WASM?
Tract is the most well known ML crate in Rust, which I believe can compile to WASM - https://github.com/sonos/tract/. Burn may also be useful - https://github.com/burn-rs/burn.
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Any working wgpu compute example that would run in a browser?
We, the burn team, are working on the wgpu backend (WebGPU) for Burn deep learning framework. You can check out the current state: https://github.com/burn-rs/burn/tree/main/burn-wgpu
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I’ve fallen in love with rust so now what?
Here is the project: https://github.com/burn-rs/burn
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Is anyone doing Machine Learning in Rust?
Disclaimer, I'm the main author of Burn https://burn-rs.github.io.
What are some alternatives?
evcxr
candle - Minimalist ML framework for Rust
soli - Solidity REPL
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
job-hunt-rust - A locally run and customisable recent job aggregator with in-memory datastore, query language (JHQL), and REPL.
tch-rs - Rust bindings for the C++ api of PyTorch.
cargo-leptos - Build tool for Leptos (Rust)
Graphite - 2D raster & vector editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.
cargo-script-mvs - Pre-RFC for merging cargo-script into cargo
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]
farolero - Thread-safe Common Lisp style conditions and restarts for Clojure(Script) and Babashka.
L2 - l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust