ZenithOS
awesome-machine-learning-in-compilers
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ZenithOS | awesome-machine-learning-in-compilers | |
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4 | 5 | |
289 | 1,327 | |
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7.9 | 5.9 | |
almost 3 years ago | 10 days ago | |
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The Unlicense | Creative Commons Zero v1.0 Universal |
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ZenithOS
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I have no idea where else to post this.
zenith os has some networking drivers, but I'm not sure if it can even run curl
- I spent 5 years writing my own operating system
- ZenithOS is a modernized fork of the 64-bit Temple Operating System
- Just wandering why txt files are edited with notepad again
awesome-machine-learning-in-compilers
- Awesome research papers on ML in Compilers
- Research Papers on ML in Compilers
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Compiler Optimizations Are Hard Because They Forget
This repo is a great collection of various papers & resources on the subject: https://github.com/zwang4/awesome-machine-learning-in-compilers
- Can artificial neural networks make better artificial neural networks than humans can make yet?
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I spent 5 years writing my own operating system
The list goes on.
Genode, unikernels like MirageOS, TempleOS, Singularity OS / Sing#, compiler services like Roslyn and Kotlin, MILEPOST GCC, Tensorflow / TPUs, GPT-3, all of the machine learning in compilers [1] and so much more. I truly think Deep Learning Compilers will be huge.
[1] https://github.com/zwang4/awesome-machine-learning-in-compil...
What are some alternatives?
ZealOS - The Zeal Operating System is a modernized fork of the 64-bit Temple Operating System, TempleOS.
kernel-ml - Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
TinkerOS - Home of TinkerOS a fork of TempleOS
winix - A UNIX-style Operating System for the Waikato RISC Architecture Microprocessor (WRAMP)
wcc - WRAMP C Compiler
awesome-tensor-compilers - A list of awesome compiler projects and papers for tensor computation and deep learning.
TempleOS-EE - TempleOS Explorers Edition
rexsimulator - a forked copy of https://sourceforge.net/projects/rexsimulator/
unikraft - A next-generation cloud native kernel designed to unlock best-in-class performance, security primitives and efficiency savings.
Parallel-Computing-Guide - Parallel Computing Guide