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An open API service aggregating public data about GitHub Sponsors.
Here I am a geek and a gopher. In real life, I am a consultant. It means that most of the contribution to the OSS projects is out of office hours.
Funding Links: https://github.com/sponsors/owulveryck
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!
The browser sends events through websockets, Cortical dispatch them to processing unit, concurently
Language: Go - Stars: 11A simple parser that turns a formulae written in unicode into an ExprGraph
Language: Go - Stars: 12LSTM based on go and gorgonia
Language: Go - Stars: 61Gorgonia is a library that helps facilitate machine learning in Go.
Language: Go - Stars: 5574