Extism Reviews

Scikit-learn Reviews

Extism mentions (13)

• Faces.js, a JavaScript library for generating vector-based cartoon faces

  Extism can be really useful for packaging up and running cross-language libraries! The most clear information about it is at: https://extism.org, but its a bit focused on the primary use case for Extism, being a universal plugin system. There is a C PDK (https://github.com/extism/c-pdk) which you'd probably want to use in a new wrapper around your library in C++, and... - Source: Hacker News / 2 months ago

• WebAssembly Playground

  For #1, check out https://extism.org/. - Source: Hacker News / 4 months ago

• Lapce Editor v0.3 Released

  Perhaps using WASM via something like https://extism.org/. That would also open it up to building plugins in multiple languages. Tangential to this I've wondered if it's possible or advisable to have a utility to port VS Code plugins to a plugin that's compatible with the JetBrains IDEs. - Source: Hacker News / 7 months ago

• plugin system for a flutter app

  Use some sort of executable file, like webassembly. I've seen extism which is really cool. Though theres no dart port for it or a dart package, I think something could be done via flutter_rust_brige. This will allow people to use the languages supported via extism (js, go, rust, zig, cpp etc) to their full potential and have the language's ecosystem available and they can just compile the plugin to a wasm file and... Source: 8 months ago

• Wasmer – Run, Publish and Deploy any code, anywhere

  You want something like this: https://extism.org/ I haven't got around to actually trying it yet though. - Source: Hacker News / 9 months ago

Scikit-learn mentions (28)

• How to Build a Logistic Regression Model: A Spam-filter Tutorial

  Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago

• Link Prediction With node2vec in Physics Collaboration Network

  Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago

• WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point

  The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago

• Help on using R for Machine Learning?

  Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: over 1 year ago