Deep Learning in JavaScript

• js-pytorch

  2 831 9.0 TypeScript

  A JavaScript library like PyTorch, built from scratch.

• lab-grad

  1 17 - TypeScript

  An Automated Differentiation library (like Pytorch🔥) in Typescript, for educational purposes.

Very very cool to see!!!

So yours is SO MUCH MORE fleshed out than mine, but I have a similar (again very fledgling) one going here that uses Typescript:

https://github.com/Marviel/lab-grad

I think there are some really neat opportunities to increase the approachability of ML algorithms when you take advantage of the Typescript templating system to explicitly ensure you're not accidentally composing tensors of incorrect shapes.

• SurveyJS

  surveyjs.io sponsored

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• SimSIMD

  15 710 9.6 C

  Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐

• tfjs

  29 18,110 8.6 TypeScript

  A WebGL accelerated JavaScript library for training and deploying ML models.

  

Many people seem to be unaware of tensorflow.js, an official JS implementation of TF

https://github.com/tensorflow/tfjs

I'd love to see PyTorch in JS, but I think unless you get it running on the GPU it won't be able to do much.

• gpu.js

  9 14,953 0.0 JavaScript

  GPU Accelerated 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/

• transformers.js

  26 7,507 9.4 JavaScript

  State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

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...

• numjs

  6 2,344 0.0 JavaScript

  Like NumPy, 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...

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• onnxruntime

  54 12,656 10.0 C++

  ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

  

tfjs is dead, looking at the commit history. The standard now is to convert PyTorch to onnx, then use onnxruntime (https://github.com/microsoft/onnxruntime/tree/main/js/web) to run the model on the browsdr.

• onegrad.js

  1 0 - JavaScript

  Lightweight deep learning framework in JavaScript

Cool project! I worked on something similar a while ago to learn about automatic differentiation: https://github.com/hexhowells/onegrad.js

Needs more layers to be really useful though.

I always thought examples using browser extensions would be neat since their built in JS and you only need to download the model once.

• taichi.js

  3 415 6.2 TypeScript

  Modern GPU Compute and Rendering 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

• node-gyp

  23 9,671 8.0 Python

  Node.js native addon build tool

  

The benefit of having it in JS is not speed but portability and access to the JS ecosystem of tools. Having the code run in the browser without needing a complex setup is a huge benefit for sharing demos. Node.js provides a way to use native code as well and it's quite commonly used https://github.com/nodejs/node-gyp so there's no reason you couldn't use those same or similar libraries in a JS implementation.

Suggest a related project