numjs
taichi.js
numjs | taichi.js | |
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6 | 3 | |
2,346 | 415 | |
- | - | |
0.0 | 6.2 | |
4 months ago | 12 months ago | |
JavaScript | TypeScript | |
MIT License | - |
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numjs
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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...
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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
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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/
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Use python libraries in MERN apps.
This could work as an alternative https://github.com/nicolaspanel/numjs
taichi.js
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Deep Learning in JavaScript
FWIW also taichi is quite popular in python and seems has some javascript related implementation (I haven't used it though), taichi.js [0]
[0] https://github.com/AmesingFlank/taichi.js
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How does Taichi differ from PyTorch? They are different in every sense!
The independent compilation and execution leaves Taichi with more possibilities. Though embedded in Python, Taichi is not Python-specific. In fact, our community developer AmesingFlank is working on a Javascript frontend. You can check out some cool preliminary demos in the taichi.js github repo.
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From molecular simulation to black hole rendering - Taichi-Lang makes life easier for digital content creators
Taichi.js is a powerful project that adds a JS frontend to Taichi and compiles Taichi to WASM with Emscripten, allowing users to transform Javascript functions into WebGPU compute shaders for massive parallelization. If your browser supports WebGPU, you can try it out on Playground | taichi.js.
What are some alternatives?
gpu.js - GPU Accelerated JavaScript
2d-fluid-simulator - 2D incompressible fluid solver implemented in Taichi.
nodebestpractices - :white_check_mark: The Node.js best practices list (February 2024)
pyasflip - Python implementation of the ASFLIP advection method
ndarray - 📈 Multidimensional arrays for JavaScript
examples - A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
node - Node.js JavaScript runtime ✨🐢🚀✨
taichi_elements - High-performance multi-material continuum physics engine in Taichi
webgpu-blas - Fast matrix-matrix multiplication on web browser using WebGPU
taichimd - Interactive, GPU-accelerated Molecular Dynamics using the Taichi programming language
headless-gl - 🎃 Windowless WebGL for node.js
axios - Promise based HTTP client for the browser and node.js