Software Alternatives, Accelerators & Startups

Scikit-learn VS Facebook AR Studio

Compare Scikit-learn VS Facebook AR Studio and see what are their differences

Scikit-learn logo Scikit-learn

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

Facebook AR Studio logo Facebook AR Studio

Facebook's developer platform for Augmented Reality
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Facebook AR Studio Landing page
    Landing page //
    2023-02-09

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Facebook AR Studio videos

Facebook ar studio player review 2018

Category Popularity

0-100% (relative to Scikit-learn and Facebook AR Studio)
Data Science And Machine Learning
Augmented Reality
0 0%
100% 100
Data Science Tools
100 100%
0% 0
iPhone
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 Scikit-learn and Facebook AR Studio

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...

Facebook AR Studio Reviews

We have no reviews of Facebook AR Studio yet.
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Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Facebook AR Studio. It has been mentiond 28 times since March 2021. 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 / 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: about 1 year ago
View more

Facebook AR Studio mentions (4)

  • 4 Optimization Hacks for Instagram Users
    With the assistance of its parent company Meta, Instagram has just recently launched the beta of its AR ads through its Spark AR Platforms. This interactive ad layout allows users to interact with their ads whether it's trying on clothes or testing out furniture for a new home. Meta insists that these engaging ads will allow brands to “prepare for the metaverse,” as many are anticipating and developing technology... Source: over 1 year ago
  • How difficult to setup being able to film on-set with a Unity PC rig that renders real-time shots of actors with their faces replaced with pre-made filters?
    I remember seeing this Corridor Crew video and they used something called Spark AR to do real-time face filters. Source: about 2 years ago
  • How to make a Unicorn
    Like u/Nexen4 says, create the character in a modelling package, then import that into SparkAR to make a filter. Source: over 2 years ago
  • How to distribute an AR app?
    I haven't really used any. Though a friend of mine was playing with Spark AR Studio from Facebook. Source: over 2 years ago

What are some alternatives?

When comparing Scikit-learn and Facebook AR Studio, 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.

Apple ARKit - A framework to create Augmented Reality experiences for iOS

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

Snap Art - Snap's augmented reality platform

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

Shopify AR - Create AR experiences for your online store