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Scikit-learn VS SFML

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

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

SFML logo SFML

SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • SFML Landing page
    Landing page //
    2018-09-29

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

SFML videos

+ Add

Coding a Simple SFML Game Framework in C++/ SFML

More videos:

  • Review - A Closer Look at SFML
  • Review - ALLEGRO vs. SDL vs. SFML (Game Programming Q&A)

Category Popularity

0-100% (relative to Scikit-learn and SFML)

Scikit-learn

SFML

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Game Engine
0 0%
Game Engine
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Game Development
0 0%
Game Development
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 Scikit-learn and SFML

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...
Source: searchbusinessanalytics.techtarget.com

SFML Reviews

We have no reviews of SFML yet.
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Social recommendations and mentions

Based on our record, Scikit-learn seems to be a lot more popular than SFML. While we know about 28 links to Scikit-learn, we've tracked only 1 mention of SFML. 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.

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 / 11 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: about 1 year ago
View more

SFML mentions (1)

  • Open source recreation of the PS Vita game -- Calling all creators
    I would like to recreate the Plastic Memories PS Vita game as a free, open source, cross-platform (any platform SFML runs on*) game for everyone to enjoy. I'm not sure how much time I'll be able to put into it (I don't have much time between school and various other projects of mine) but I can handle the code, coordination, and source code hosting. Source: over 2 years ago

What are some alternatives?

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

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

raylib - Cross-platform, open-source game development library in C.

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

Godot Engine - Feature-packed 2D and 3D open source game engine.

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

SDL - Simple DirectMedia Layer is a cross-platform multimedia library designed to provide low level...

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