Software Alternatives & Reviews

Scikit-learn VS DeepAI

Compare Scikit-learn VS DeepAI 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.

DeepAI logo DeepAI

Easily build the power of AI into your applications
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • DeepAI Landing page
    Landing page //
    2023-10-22

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

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

DeepAI videos

Adding colours to old images using machine learning | Algorithmia | deepai

Category Popularity

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Data Science And Machine Learning
AI
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Data Science Tools
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Photos & Graphics
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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 DeepAI

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...

DeepAI Reviews

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Social recommendations and mentions

Scikit-learn might be a bit more popular than DeepAI. We know about 28 links to it since March 2021 and only 25 links to DeepAI. 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 / 2 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: 12 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: 12 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
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DeepAI mentions (25)

  • Any Llama 2 models available that allow free discussion of non-establishment narratives?
    If you try to engage ChatGPT or deepai.org's free chat with a non-establishment narrative, it will often refuse to engage, refuse to consider anything you say, and just claim it's "misinformation" and that you have "no evidence," despite you having enumerated the specific evidence you have (video with a solid chain of custody, eyewitness testimony, etc.). Source: 8 months ago
  • need model and prompt like this website
    I still remember before I using stable diffusion I have been use this site https://deepai.org by using option "fantasy potrait generator". Can I know what model and prompt this website use it? Already 3 days I test most of model but not same with it. Source: 12 months ago
  • I'm happy to see that so many of you have had the same idea that I have. This AI-generation isn't what I wanted, but it's still cool.
    I tried your prompt on deepai.org.. Yielding some bizarre images. Source: about 1 year ago
  • Artificial Intelligence Solves the Housing Problem?
    Using chat.openai.com and deepai.org to answer the question; "Tell me a story about how the college students solved the housing crisis by creating a steampunk treehouse city in the old growth forest.". Source: about 1 year ago
  • Greetings, fellow AI enthusiasts and art enthusiasts.
    Made the image with deepai and took the idea from VNKT-FOREVER to animate it with D-ID. Much fun. Source: over 1 year ago
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What are some alternatives?

When comparing Scikit-learn and DeepAI, 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.

Coderway.net - Unlimited creative options

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

Midjourney - Midjourney lets you create images (paintings, digital art, logos and much more) simply by writing a prompt.

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

Img2Go - Img2Go - This webservice allows you to edit and convert images online. This is the free web solution for your photo editing, image conversion, and more.