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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A JavaScript library like PyTorch, with GPU acceleration.
| Date | Stars |
|---|---|
| 2026-07-30 | 1222 |
| 2026-08-10 | 1223 |
| 2026-08-18 | 1222 |
| 2026-09-04 | 1221 |
| 2026-10-11 | 1220 |
| 2026-10-13 | 1221 |
| 2026-10-31 | 1222 |
| 2026-11-04 | 1221 |
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<p align="center">
<img src="./assets/docs_logo.png" alt="js-torch" height="135">
</p>
<p align="center">
<a href="https://github.com/eduardoleao052/js-torch/actions/workflows/test.yml/badge.svg" alt="Unit Tests">
<img src="https://github.com/eduardoleao052/js-torch/actions/workflows/test.yml/badge.svg" /></a>
<a href="https://github.com/eduardoleao052/js-torch/pulse" alt="Activity">
<img src="https://img.shields.io/github/commit-activity/m/eduardoleao052/js-torch" /></a>
<a href="https://github.com/eduardoleao052/js-torch/graphs/contributors" alt="Contributors">
<img src="https://img.shields.io/github/contributors/eduardoleao052/js-torch" /></a>
<a href="https://github.com/eduardoleao052/js-torch">
<img src="https://img.shields.io/badge/language-JavaScript-yellow">
</a>
<a href="mailto:[email protected]">
<img src="https://img.shields.io/badge/-Email-red?style=flat-square&logo=gmail&logoColor=white">
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<a href="https://www.linkedin.com/in/eduardoleao052/">
<img src="https://img.shields.io/badge/-Linkedin-blue?style=flat-square&logo=linkedin">
</a>
</p>
# PyTorch in JavaScript
- JS-PyTorch is a Deep Learning **JavaScript library** built from scratch, to closely follow PyTorch's syntax.
- This library has **GPU support**, using GPU.js.
- If you want to run it yourself, check out the <a href="https://eduardoleao052.github.io/js-pytorch/site/index.html" target="blank">Documentation</a>.
- Try out the <a href="https://eduardoleao052.github.io/js-pytorch/site/demo/" target="blank">Web Demo</a>!
> **Note:** You can install the package locally with: `npm install js-pytorch`
<br>
<details>
<summary> Implemented Tensor <b>Operations</b>: </summary>
<br/>
- [Add](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L346-L401)
- [Subtract](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L404-L438)
- [Multiply](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L441-L496)
- [Divide](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L498-L557)
- [Matrix Multiply](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L560-L621)
- [Power](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L625-L663)
- [Square Root](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L666-L704)
- [Exponentiate](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#706-L744)
- [Log](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L746-L785)
- [Sum](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L790-L842)
- [Mean](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L844-L894)
- [Variance](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L896-L949)
- [Transpose](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L953-L1008)
- [At](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L1010-L1060)
- [MaskedFill](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L1062-L1095)
- [Reshape](https://github.com/eduardoleao052/js-torch/blob/07c1286867b952f32c0e904033214253e8812090/src/tensor.js#L1097-L1129)
</details>
<details>
<summary> Implemented Deep Learning <b>Layers</b>: </summary>
<br/>
- [nn.Linear](https://github.com/eduardoleao052/js-torch/blob/a158c91db9775a88fae6ed2d0f76d6d8ee6f9d23/src/lExcerpt of 11,524 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6f1bb95c2286e1cd, topic:deep-learning, topic:pytorch