gentooinstall
sysidentpy
gentooinstall | sysidentpy | |
---|---|---|
12 | 7 | |
48 | 312 | |
- | - | |
3.2 | 7.8 | |
10 months ago | 24 days ago | |
Shell | Python | |
GNU General Public License v3.0 only | BSD 3-clause "New" or "Revised" License |
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gentooinstall
- Need help with building a working kernel on very old PowerPC Mac (PowerBook5,3)
- The Icculus Microgrant is giving out 250 dollar grants to open source projects, please brag about your project(s) in this thread so I can see them!
- The importance of following the Gentoo Handbook, and what you loose by trying a script
- What's Your Favorite Linux Distro?
- Using QEMU and passthrough SD MMC to prepare a RPi 4B image. Wish me luck.
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Round 1 Has Concluded of Panic! at the Distro - Are You Ready to Rumble?
I wrote a script that can install Gentoo and assimilate Debian images: gentooinstall
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I've written a Bash script that converts a Manjaro/EndeavourOS installation into vanilla Arch.
gentooinstall --assimilate
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I'm giving out microgrants to open source projects for the third year in a row! Brag about your projects here so I can see them, big or small!
gentooinstall - Install Gentoo Linux by automating most of the steps in the Gentoo Handbook
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How do I install Gentoo from script?
I just fininished an hour's install of gentoo just for it to not boot properly and have to start all over. I installed unscripted to learn how the system works so now I'm happy to use a script from github (https://github.com/nathanshearer/gentooinstall) but there are no instructions besides "clone it". How do I use this script for install?
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Enthusiastic begginer to dull master
Now I just use my install script which takes care of most of the tedious steps: https://github.com/nathanshearer/gentooinstall
sysidentpy
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Contribuição em biblioteca open source
Link para o site da documentação: SysIdentPy - SysIdentPy
- sysidentpy: A Python Package For System Identification Using NARMAX Models
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I'm giving out microgrants to open source projects for the third year in a row! Brag about your projects here so I can see them, big or small!
I'm the only maintainer, but I keep including new features (some exclusives, like the algorithm I've developed in my thesis to create NARMAX models), improving the code and documentation, and fixing bugs.
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A Comparison of Time Series Model Forecasting
benchmark codes: Welcome to SysIdentPy’s documentation! — NARMAX models
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Criei uma biblioteca open source para previsão de séries temporais
github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)
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Help with time series analysis
I built a package where you can build polynomial NARMAX models using the most used method for model selection of this class of models in the beckend. In addition, you can built NARX Neural Networks for forecasting problems (this is built on top of Pytorch) and you can use any model that have a fit/predict method (Catboost, any estimator from sklearn) in a NARX configuration to perform infinity-steps-ahead prediction. Maybe its worth a try. Here is the link of the package: GitHub - wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models
What are some alternatives?
axyl-iso - Axyl is a Linux distro centered on tiling window managers. Choose from i3, bspwm, dwm and more.
pysindy - A package for the sparse identification of nonlinear dynamical systems from data
rpi-imager - The home of Raspberry Pi Imager, a user-friendly tool for creating bootable media for Raspberry Pi devices.
neural_prophet - NeuralProphet: A simple forecasting package
LichessBot - Repo of a Discord bot that is for viewing games and users on Lichess.
sktime - A unified framework for machine learning with time series
kira - Library for expressive game audio.
rav1e - The fastest and safest AV1 encoder.
fastfetch - Like neofetch, but much faster because written mostly in C.
forge - Lua scriptable build tool
treefetch - 🌲 A plant-based system fetch tool made with Rust.
space-nerds-in-space - Multi-player spaceship bridge simulator. Captain your starship through adventures with your friends. See https://smcameron.github.io/space-nerds-in-space