ssr-proxy-js
sysidentpy
Our great sponsors
| ssr-proxy-js | sysidentpy | |
|---|---|---|
| 9 | 7 | |
| 18 | 312 | |
| - | - | |
| 0.0 | 7.8 | |
| over 2 years ago | 21 days ago | |
| TypeScript | Python | |
| - | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ssr-proxy-js
-
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!
SSRProxy.js GitHub
- Recently released a SSR Proxy (Server-Side Rendenring), which allows for SEO-friendly SPAs, serving pre-rendered web pages for Web Crawlers. Any feedback is more than welcome!
- How do you guys keep both Google bots and their users happy?
sysidentpy
-
Contribuição em biblioteca open source
Link para o site da documentação: SysIdentPy - SysIdentPy
- sysidentpy: A Python Package For System Identification Using NARMAX Models
-
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.
-
A Comparison of Time Series Model Forecasting
benchmark codes: Welcome to SysIdentPy’s documentation! — NARMAX models
-
Criei uma biblioteca open source para previsão de séries temporais
github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)
-
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?
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
pysindy - A package for the sparse identification of nonlinear dynamical systems from data
wrp - Web Rendering Proxy: Use vintage, historical, legacy browsers on modern web
neural_prophet - NeuralProphet: A simple forecasting package
SDL - DEPRECATED: Official development moved to GitHub
sktime - A unified framework for machine learning with time series
issr - The easiest way to move your React application to Server-Side Rendering. Handles Side Effects and synchronizes State.
rav1e - The fastest and safest AV1 encoder.
svelte-kit-ssr-boilerplate - 🧵 Svelte server-side-rendering built with SEO in mind. Start your project with this friendly svelte kit boilerplate
forge - Lua scriptable build tool
prerender - Node server that uses Headless Chrome to render a javascript-rendered page as HTML. To be used in conjunction with prerender middleware.
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