jax-js
AI
ml library
SHOW HN2026
How HN took it
5 positive, 1 neutral or asking, 2 mixed, 1 critical, out of 9 comments about the project. Thread score +0.36.
Idea: 3 for, 0 againstPerformance: 1 for, 0 againstDocs: 1 for, 0 againstExecution: 0 for, 1 against
The thread, comment by comment
Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.
positive neutral or mixed critical about another commenter or something else the maker
What HN said
What people liked
Fills gap left by tensorflow.js for gradients in JavaScript
From 1 comment
Congrats on the launch! This is a very exciting project because the only decent autodiff implementation in typescript was tensorflowjs, which has been completely abandonned by…
fouronnes3 on HN
Supports WebGPU plus CPU, Wasm and WebGL backends
From 1 comment
Very nice work. Like how it supports webgpu but also cpu/wasm/webgl. Would love to read more on the internals & design choices made like e.g. ref counting in README. P.S. And…
forgotpwd16 on HN
Examples are useful
From 1 comment
The examples are great. It would be really nice to have a sandbox with the full training code (e.g. MNIST) to play with.
sbondaryev on HN
Objections
Firefox cannot run the demos without WebGPU
From 2 comments
Could not run the demos on Firefox. On Chromium, the Great Expectations loads but then nothing happens.
maelito on HNAccording to page WebGPU supported (`dom.webgpu.enabled` flag) but is only enabled by default on Windows & macOS (i.e. not Linux).
forgotpwd16 on HN
Ref and dispose API is low-level and error-prone
From 1 comment
I have a project using tfjs and jax-js is very exciting alternative. However during porting I struggle a lot with `.ref` and `.dispose()` API. Coming from tfjs where you garbage…
mlajtos on HN
Requests
Benchmark against other autodiff tools
From 1 comment
Hey Eric, great to see you've now published this! I know we chatted about this briefly last year, but it would be awesome to see how the performance of jax-js compares against…
sestep on HN
Sandbox with full training code such as MNIST
From 1 comment
The examples are great. It would be really nice to have a sandbox with the full training code (e.g. MNIST) to play with.
sbondaryev on HN
Write-up of internals and design choices
From 1 comment
Very nice work. Like how it supports webgpu but also cpu/wasm/webgl. Would love to read more on the internals & design choices made like e.g. ref counting in README. P.S. And…
forgotpwd16 on HN
Questions
Is it a side project or a long-term commitment?
From 1 comment
Congrats on the launch! This is a very exciting project because the only decent autodiff implementation in typescript was tensorflowjs, which has been completely abandonned by…
fouronnes3 on HN
Can the ref API be improved or could using help?
From 1 comment
I have a project using tfjs and jax-js is very exciting alternative. However during porting I struggle a lot with `.ref` and `.dispose()` API. Coming from tfjs where you garbage…
mlajtos on HN
Alternatives named
tensorflow.js
From 2 comments
Congrats on the launch! This is a very exciting project because the only decent autodiff implementation in typescript was tensorflowjs, which has been completely abandonned by…
fouronnes3 on HNI have a project using tfjs and jax-js is very exciting alternative. However during porting I struggle a lot with `.ref` and `.dispose()` API. Coming from tfjs where you garbage…
mlajtos on HN
ONNX Runtime Web
From 2 comments
Congrats on the launch! This is a very exciting project because the only decent autodiff implementation in typescript was tensorflowjs, which has been completely abandonned by…
fouronnes3 on HNonnx on the web has the most models available and can use webgpu which is available everywhere. Huggingface’s transformers.js uses it. And I use that for https://workglow.dev…
sroussey on HN
transformers.js
From 1 comment
onnx on the web has the most models available and can use webgpu which is available everywhere. Huggingface’s transformers.js uses it. And I use that for https://workglow.dev…
sroussey on HN
WebNN
From 1 comment
What is the state of web ML? Anybody doing cool things already? How about https://www.w3.org/TR/webnn/ ?
esafak on HN