wgpu-mm VS tfjs

Compare wgpu-mm vs tfjs and see what are their differences.

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wgpu-mm tfjs
1 29
50 18,135
- 0.4%
8.7 8.6
about 2 months ago 7 days ago
WGSL TypeScript
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

wgpu-mm

Posts with mentions or reviews of wgpu-mm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-06.
  • Chrome Ships WebGPU
    17 projects | news.ycombinator.com | 6 Apr 2023
    This is very exciting! (I had suspected it would slip to 114)

    WebGPU implementations are still pretty immature, but certainly enough to get started with. I've been implementing a Rust + WebGPU ML runtime for the past few months and have enjoyed writing WGSL.

    I recently got a 250M parameter LLM running in the browser without much optimisation and it performs pretty well! (https://twitter.com/fleetwood___/status/1638469392794091520)

    That said, matmuls are still pretty handicapped in the browser (especially considering the bounds checking enforced in the browser). From my benchmarking I've struggled to hit 50% of theoretical FLOPS, which is cut down to 30% when the bounds checking comes in. (Benchmarks here: https://github.com/FL33TW00D/wgpu-mm)

    I look forward to accessing shader cores as they mentioned in the post.

tfjs

Posts with mentions or reviews of tfjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-09.

What are some alternatives?

When comparing wgpu-mm and tfjs you can also consider the following projects:

SHA256-WebGPU - Implementation of sha256 in WGSL

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

stablehlo - Backward compatible ML compute opset inspired by HLO/MHLO

webhl - WebHL is a fork of hlviewer.js that uses the File System Access API to load game assets direct from your computer rather than from a server.

wgpu-py - Next generation GPU API for Python

lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

pygfx - A python render engine running on wgpu.

BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

webgpu-blas - Fast matrix-matrix multiplication on web browser using WebGPU

openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

web-stable-diffusion - Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

firecracker - Secure and fast microVMs for serverless computing.