memory64
web-ai
| memory64 | web-ai | |
|---|---|---|
| 7 | 2 | |
| 188 | 783 | |
| 5.3% | - | |
| 8.6 | 7.2 | |
| 2 days ago | 6 months ago | |
| WebAssembly | TypeScript | |
| GNU General Public License v3.0 or later | MIT License |
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memory64
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Top 8 Recent V8 Updates
A completed implementation of memory64 for memory-hungry applications.
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Extism Makes WebAssembly Easy
Indeed, webassembly is moving extremely slowly. I started a project years ago expecting https://github.com/WebAssembly/memory-control/blob/main/prop... and https://github.com/WebAssembly/memory64 to be fixed at some point. Neither are yet, and the project still suffers from it to this day.
I think wasm is still great without these fixes, but I have lost confidence in the idea that wasm will reach its full potential any time soon.
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How Photoshop solved working with files larger than can fit into memory
It's in the works: https://github.com/WebAssembly/memory64
Starting with 32bit had some performance advantages because 64bit runtimes can use virtual memory shenanigans to implement bounds checking with zero overhead. In wasm64 they'll have to do explicit bounds checking instead.
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Transformers.js
Right - currently, everything runs using WASM (32-bit, with 64-bit coming soon [1,2]), and I plan to add support for WebGPU soon!
(WebGPU is the successor to WebGL, which is coming out in April 2023 [3])
[1] https://github.com/WebAssembly/memory64/issues/36#issuecomme...
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What was the rational for 32-bit memory addresses in WebAssembly? It seems very short-sighted, considering it only came out pretty recently in 2017
It shouldn't be a big surprise that a 64-bit pointer extension is out there and being worked on. The great thing about a VM is you can integrate major changes like this when they are needed and with the benefit of experience and hindsight. If the 4GB limit turns out to be restrictive then it can be lifted.
- Why Am I Excited About WebAssembly?
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Increasing Smart Contract Canister Memory Proposal is live for review
The goal of this proposal is to increase the amount of memory that canisters can access [eventually] bound only by the actual capacity of the subnet. Since, the Memory64 proposal is not standardized 1 yet and its implementation 1 in Wasmtime is not production ready yet, this proposal enables the increase by introducing a new stable memory API.
web-ai
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Transformers.js
How does this compare to this project: https://github.com/visheratin/web-ai
Does it support using custom ONNX models?
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Library for running deep learning models in the browser
The library repo - https://github.com/visheratin/web-ai
What are some alternatives?
interface-types
spark-nlp - State of the Art Natural Language Processing
wasmtime - A fast and secure runtime for WebAssembly
web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
temporal-polyfill - A lightweight polyfill for Temporal, successor to the JavaScript Date object
transformers.js - State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
botnet - Multiplayer programming game using Rust and WebAssembly
whisper.cpp - Port of OpenAI's Whisper model in C/C++
proposal-temporal - Provides standard objects and functions for working with dates and times.
rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
component-sandbox-demo
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator