pytorch-handwriting-synthesis-
[GET https://api.github.com/repos/X-rayLaser/pytorch-handwriting-synthesis-: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository] (by X-rayLaser)
simd
Branch of the spec repo scoped to discussion of SIMD in WebAssembly (by WebAssembly)
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| pytorch-handwriting-synthesis- | simd | |
|---|---|---|
| 1 | 6 | |
| - | 463 | |
| - | - | |
| - | 8.8 | |
| - | over 3 years ago | |
| WebAssembly | ||
| - | GNU General Public License v3.0 or later |
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.
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.
pytorch-handwriting-synthesis-
Posts with mentions or reviews of pytorch-handwriting-synthesis-.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-08-21.
-
Show HN: Handwriter.ttf – Handwriting Synthesis with Harfbuzz WASM
I didn't train the model. A pretrained model is adopted from another repo [0].
[0]: https://github.com/X-rayLaser/pytorch-handwriting-synthesis-...
simd
Posts with mentions or reviews of simd.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-08-21.
- Show HN: Handwriter.ttf – Handwriting Synthesis with Harfbuzz WASM
-
The IMPOSSIBLE RISCV HACK: Vector Extension 0.7.1-draft w/ current Linux kernel! – René Rebe
I'd love to see OpenCL or WasmSIMD support for RVV 071.
-
WASM vs Native Rust performance
Wasm SIMD supports only 128-bit registers, no? https://github.com/WebAssembly/simd/blob/a78b98a6899c9e91a13095e560767af6e99d98fd/proposals/simd/SIMD.md
-
A Look at Performance in Wasmtime and Cranelift
According to the WebAssembly Roadmap, the 128-bit packed SIMD Extension proposal has been accepted and is already implemented in every major runtime except Safari, and the Relaxed SIMD proposal is planned, with Firefox already having an experimental implementation in nightly-channel builds.
- Pay Attention to WebAssembly
-
There are many like it, but this is my Rust raytracer running in WebAssembly
Thanks! You're probably right about spatial filtering with a low sphere count. SIMD is supported, that looks to work in every recent browser except Safari. Looking forward to trying that out. A really quick search of wasm-bindgen docs don't reveal an interface to use that SIMD support though. I wonder if you can unsafely inline some raw wasm like you can with asm!
What are some alternatives?
When comparing pytorch-handwriting-synthesis- and simd you can also consider the following projects:
handwriter.ttf - Handwriting synthesis with Harfbuzz WASM.
gc - Branch of the spec repo scoped to discussion of GC integration in WebAssembly
pytorch-handwriting-synthesis-toolkit - Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
design - WebAssembly Design Documents
reMarkable-tools - Tools for the reMarkable paper tablet
multi-value - Proposal to add multi-values to WebAssembly
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Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
featured