Software Alternatives, Accelerators & Startups

Scikit-learn VS Generated.photos

Compare Scikit-learn VS Generated.photos 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.

Generated.photos logo Generated.photos

Explore our free resource of 100k high-quality faces, each entirely generated by AI. Use them in your projects, mockups, or wherever — all for just a link back to us!
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • Generated.photos Landing page
    Landing page //
    2023-10-02

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

Generated.photos videos

No Generated.photos videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Scikit-learn and Generated.photos)
Data Science And Machine Learning
Design Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using Scikit-learn and Generated.photos. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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...

Generated.photos Reviews

We have no reviews of Generated.photos yet.
Be the first one to post

Social recommendations and mentions

Generated.photos might be a bit more popular than Scikit-learn. We know about 28 links to it since March 2021 and only 28 links to Scikit-learn. 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: over 1 year ago
View more

Generated.photos mentions (28)

  • Replacing a face using a model of a non-existent person
    Yes I could use generator like generated.photos but it gives you a single plain image, which is not enough to perform well. Source: about 1 year ago
  • I really liked the idea of an European Federation ID but I thought we could do better
    Credit to generated.photos for the AI generated face. Source: about 1 year ago
  • Warning
    When you reverse image search the photos they all come back as coming from the site generated.photos. Source: about 1 year ago
  • What's happenin? Start of the week Chit-Chattin!
    Https://generated.photos AI generated photos. Source: over 1 year ago
  • i know this is not what this subreddit is for but why do I never get black people when on this website?
    You can use "generated.photos" to create faces of black people but, recently it's now a paid service :\. Source: over 1 year ago
View more

What are some alternatives?

When comparing Scikit-learn and Generated.photos, 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.

This Person Does Not Exist - Computer generated people. Refresh to get a new one.

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

UI Faces - Avatars for design mockups

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

This Cat Does Not Exist - Computer generated cats. Refresh to get a new one.