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waylonflinn/weblas

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GPU Powered BLAS for Browsers :gem:

6 mentions on Hacker News by 6 people: 0 stories, 6 comments · first 2016-05-09 · latest 2018-08-24

Mentions per year 6 mentions · busiest year 2016 (4)
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  1. I have used Weblas "GPU Powered BLAS for Browsers" for matrix multiply and it smokes! https://github.com/waylonflinn/weblas
  2. How does it compare to weblas (GPU Powered BLAS for Browsers, https://github.com/waylonflinn/weblas )? I had in mind matrix operations for neural networks, as in https://github.com/transcranial/keras-js .
    comment by stared · 2017-07-15 · in Gpu.js – GPU Accelerated JavaScript
  3. Thanks! For WebGL, credit goes to https://github.com/waylonflinn/weblas . I only really use GEMM, but it works quite well. In keras.js, convolution is implemented with the oft-used im2col transformation to turn it into a matrix multiply…
  4. …been ported ( http://waylonflinn.github.io/DeepBeliefSDK/ ) using a newer toolkit called webblas ( https://github.com/waylonflinn/weblas ). Reddit discussion about webblas at ( https://www.reddit.com/r/MachineLearning/comments/41luif/gpu...…
  5. …as in a gallery * You are using WebGL to accelerate some computation in nodejs with a library like https://github.com/waylonflinn/weblas * You want to test your WebGL code using continuous integration etc.
  6. …will overcome this limitation by allowing access to GPU resources. Further reading: [1][2][3] [1] https://github.com/waylonflinn/weblas [2] https://github.com/karpathy/convnetjs/issues/13 [3] https://github.com/mikeseven/node-webcl [4]…
    comment by nl · 2016-05-09 · in Neural Networks in JavaScript