Software Alternatives & Reviews
Register | Login

Dataloop AI VS Scikit-learn

Compare Dataloop AI VS Scikit-learn and see what are their differences

Content Guardian AI
The only 8-in-1 AI content detector platform in the world. We integrate with leading AI content detectors to give unparalleled confidence that your content appear to be written by a human. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Dataloop AI logo Dataloop AI

Enterprise grade data platform for AI systems in development and in production.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Dataloop AI Landing page
    Landing page //
    2023-10-21

Dataloop is an enterprise grade data platform for AI systems in development and in production, providing an end-to-end data workflow including image, video and audio data annotation, quality control, data management, automation pipelines and autoML.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Dataloop AI videos

+ Add

Auto annotation of objects using Dataloop AI

Scikit-learn videos

+ Add

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 Dataloop AI and Scikit-learn)

Dataloop AI

Scikit-learn

Image Annotation
100 100%
Image Annotation
0% 0
Data Science And Machine Learning
8 8%
Data Science And Machine Learning
92% 92
Data Labeling
100 100%
Data Labeling
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Dataloop AI and Scikit-learn. 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 Dataloop AI and Scikit-learn

Dataloop AI Reviews

Top Video Annotation Tools Compared 2022
Dataloop aims to drive AI to production with end-to-end data management, automation pipelines, and a quality-first data labeling platform. Their video annotation features includes:
Source: innotescus.io

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

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 27 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.

Dataloop AI mentions (0)

We have not tracked any mentions of Dataloop AI yet. Tracking of Dataloop AI recommendations started around Mar 2021.

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 / 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
  • 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
View more

What are some alternatives?

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

Labelbox - Build computer vision products for the real world

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

V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

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

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

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

Loading...