webgpu-blas
burn
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| webgpu-blas | burn | |
|---|---|---|
| 3 | 34 | |
| 97 | 4,845 | |
| - | - | |
| 4.8 | 8.9 | |
| 3 months ago | 5 months ago | |
| TypeScript | Rust | |
| MIT License | Apache License 2.0 |
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webgpu-blas
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Chrome Ships WebGPU
Looks like no -- there appears to be no tensor core or similar support and this SGEMM (fp32 matrix multiply) benchmark gets awful results (my laptop gets 330gflops on this when it should be capable of 13000 gflops).
https://github.com/milhidaka/webgpu-blas
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Modern JavaScript:Everything you missed over the last 10 years(ECMAScript 2020)
I think you will be interested to read this article about the future of data programming in JavaScript (http://benschmidt.org/post/2020-01-15/2020-01-15-webgpu/).
I do think that this kind of thing will be able to be built on top of WebGPU (I saw this experimental POC that did so recently: https://github.com/milhidaka/webgpu-blas). The only issue is that since JavaScript doesn't support operator overloading, the code might be a little less readable.
- JavaScript for Data Science
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?
numjs - Like NumPy, in JavaScript
candle - Minimalist ML framework for Rust
Material UI - Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
SHA256-WebGPU - Implementation of sha256 in WGSL
tch-rs - Rust bindings for the C++ api of PyTorch.
wgpu-mm
Graphite - 2D raster & vector editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.
next-auth - Authentication for the Web.
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]
icpts - TypeScript implementation of iterative closest point (ICP) for point cloud registration
L2 - l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust