numjs | gpu.js | |
---|---|---|
6 | 9 | |
2,346 | 14,959 | |
- | 0.3% | |
0.0 | 0.0 | |
4 months ago | 2 months ago | |
JavaScript | JavaScript | |
MIT License | MIT License |
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.
numjs
-
Deep Learning in JavaScript
BTW: you might want to add support for typed arrays.
See: https://github.com/xenova/transformers.js/blob/8804c36591d11...
This is really old, but added as part of the shape of the vector as well: https://github.com/nicolaspanel/numjs/blob/master/src/dtypes...
-
5 best JavaScript multidimensional array libraries
NumJs is a JavaScript library inspired by Python's NumPy. NumJs, while not as comprehensive as some of the other libraries on this list, supports multidimensional arrays and contains fundamental mathematical operations and functions.
- GPU.js
-
JavaScript for Data Science
The first repo has one core contribitor who hasn't been active since June 2018.
https://github.com/nicolaspanel/numjs/graphs/contributors
I believe it could be possible for JavaScript to be a viable language ecosystem, but there is dire need for cohesion, collaboration, and longevity. As it stands, there many potentially viable projects strewn across the NPM landscape like old, discarded toys.
I'm not aware of an initiative, let alone ethos, in the JS community that comes anywhere close to something like NumFocus.
https://numfocus.org/
-
Use python libraries in MERN apps.
This could work as an alternative https://github.com/nicolaspanel/numjs
gpu.js
-
Deep Learning in JavaScript
You might already be familiar, but a GPU.js backend can provide some speedups via good old WebGL -- no need for WebGPU just yet!
[0]: https://github.com/gpujs/gpu.js/
-
Show HN: Shadeup – A language that makes WebGPU easier
Very cool project.
I learned WebGL three years ago but before I dove into the underlying concepts I used GPU.js [1] to quickly prototype my project. Eventually, the abstraction prevented necessary performance optimizations so I switched to vanilla GLSL and these vanilla GLSL "shaders" were initially ejected from GPU.js.
Writing JS code then looking at the generated WebGPU output is a great way to get familiar with WebGPU. Thanks for this.
[1] https://github.com/gpujs/gpu.js/
-
Gpu.js: GPU Accelerated JavaScript
I used this library on my project but I think it's no longer maintained. I PRed a fix for buggy atan2 over a year ago and no movement [1]. I do highly recommend it if you're a web developer interested in harnessing parallel processing.
[1] https://github.com/gpujs/gpu.js/pull/683
-
Brain.js: GPU Accelerated Neural Networks in JavaScript
Thanks for pointing this out. I've submitted a PR to resolve this: https://github.com/gpujs/gpu.js/issues/757
That being said, if you're not building from source (you're running an LTS version of node on a supported platform), you don't need to worry about python or many of the build deps.
- GPU.js
- For what projects, Nodejs is an absolute No No?
What are some alternatives?
nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)
headless-gl - 🎃 Windowless WebGL for node.js
ndarray - 📈 Multidimensional arrays for JavaScript
math-clamp - Clamp a number
node - Node.js JavaScript runtime ✨🐢🚀✨
aladino - 🧞♂️ Your magic WebGL carpet
webgpu-blas - Fast matrix-matrix multiplication on web browser using WebGPU
math-sum - Sum numbers
Brain.js - 🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
axios - Promise based HTTP client for the browser and node.js