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Become a sponsor to Olivier Wulveryck

I am an OSS contributor.

I build tools that fits my need and eventually I blog about them.
Some of the tools I am using are:

  • tools usable on the remarkable (for streaming for example)
  • a tool to convert a webpage to epub for example
  • "DevOps" tools
  • I am contributing to Gorgonia and onnx-go.

The goal is to use the power of Go to build efficient software, powered by ML, and designed to run on the cloud.

The target audience of my work is:

  • the Devs who want to use machine learning easily without profoundly understanding the math behind;
  • the Ops who need to operate pre-trained models;
  • the data scientists/engineers who want to experiment with their computational model easily without digging too much into complex languages such as C++'

On top of that, I am coding POCs and Demos for blogs and conferences, all in an open-source format.

Eventually, Go is the perfect VM to run software 2.0.

Disclaimer: All of the OSS contributions from blog post to code are made in my spare time. Luckily, I have income from my day to day job; and besides the $500 (that would change the way I organize my work and maybe to work part-time), I consider the other tiers as tips.
Do it only if this money is not important to you and please, consider donating to better causes first :D

Now you've been "warned", and if you still want to click on the "sponsor" button, I kindly thank you!

Current sponsors 2

@ysaito8015
Private Sponsor

Past sponsors 3

@amer8
@nickpoorman
@octoberswimmer

Featured work

  1. owulveryck/onnx-go

    onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

  2. owulveryck/cortical

    The browser sends events through websockets, Cortical dispatch them to processing unit, concurently

    Go 11
  3. gorgonia/parser

    A simple parser that turns a formulae written in unicode into an ExprGraph

    Go 12
  4. owulveryck/lstm

    LSTM based on go and gorgonia

    Go 61
  5. gorgonia/gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go.

Select a tier

$ a month

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$1 a month

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This would pay me a coffee, and coffee is fuel for a developer

$2 a month

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Coffee is good, but for 2 dollars, I may drink a beer and thank you on twitter for this beer!

$5 a month

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I will print stickers of Gorgonia and I'll send you 10 of them.

$20 a month

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Let's talk together and define the next subject I may blog about.

$42 a month

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To help me find the answers to all of the questions.

$500 a month

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This amount would allow me to work one day a week on onnx-go and Gorgonia.

It would allow me to fix various bugs and implement new operators to be able to run more models and use hardware acceleration (as of today, models related to the computer vision such as TinyYolo v2, Resnet, emotion fer+ are working, but no NLP model is running because some operators are not implemented yet).

With this, onnx-go can become a serious alternative to onnxruntime in the Go world.

onnx-go makes it easy to run a neural network runtime environment on the cloud, hosted on serverless, on embedded devices such as RPI or straight into the browser via webassembly.