Software Alternatives & Reviews

Dyon VS Scikit-learn

Compare Dyon VS Scikit-learn and see what are their differences

Dyon logo Dyon

A dynamically typed scripting language for Rust

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Dyon Landing page
    Landing page //
    2023-08-04
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Dyon

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Operating Systems
  • Routers
Website github.com
Details $-

Scikit-learn

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website scikit-learn.org
Details $

Dyon videos

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Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Dyon and Scikit-learn)
Data Science And Machine Learning
Data Science Tools
2 2%
98% 98
Operating Systems
100 100%
0% 0
Python Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dyon and Scikit-learn

Dyon Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than Dyon. While we know about 27 links to Scikit-learn, we've tracked only 1 mention of Dyon. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dyon mentions (1)

  • Finally it clicked
    Another way to learn is by using Dyon, which has a lifetime checker, but no borrow checker. In Dyon, you only need to put mut in front of arguments, so it is a little more ergonomic than in Rust, but you'll love the extra safety in Rust when maintaining libraries. Source: over 1 year ago

Scikit-learn mentions (27)

  • 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 / 10 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: 10 months 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: 11 months 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: about 1 year ago
  • Machine learning with Julia - Solve Titanic competition on Kaggle and deploy trained AI model as a web service
    This is not a book, but only an article. That is why it can't cover everything and assumes that you already have some base knowledge to get the most from reading it. It is essential that you are familiar with Python machine learning and understand how to train machine learning models using Numpy, Pandas, SciKit-Learn and Matplotlib Python libraries. Also, I assume that you are familiar with machine learning... - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing Dyon and Scikit-learn, you can also consider the following products

Gluon - Gluon is a modular framework for creating OpenWRT-based firmwares for wireless mesh servers.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

OpenWrt - OpenWrt is an open-source firmware based on Linux for wireless routers

OpenCV - OpenCV is the world's biggest computer vision library

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

NumPy - NumPy is the fundamental package for scientific computing with Python