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Compare Torch and scikit-learn

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At a Glance
Torch
Torch
Star Rating
(15)4.4 out of 5
Market Segments
Small-Business (42.9% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about Torch
scikit-learn
scikit-learn
Star Rating
(59)4.8 out of 5
Market Segments
Enterprise (40.7% of reviews)
Information
Entry-Level Pricing
No pricing available
Learn more about scikit-learn
AI Generated Summary
AI-generated. Powered by real user reviews.
  • Users report that Torch excels in deep learning capabilities, particularly with its dynamic computation graph, which allows for more flexibility during model training. In contrast, reviewers mention that scikit-learn, while strong in traditional machine learning algorithms, lacks the same level of support for deep learning tasks.
  • Reviewers say that scikit-learn offers superior ease of use and setup, with a more intuitive interface and comprehensive documentation. Users on G2 highlight that Torch can be more challenging for beginners due to its complex API and steeper learning curve.
  • G2 users note that scikit-learn's model evaluation tools are robust and user-friendly, making it easier to assess model performance. Conversely, users report that Torch requires more manual effort to implement similar evaluation metrics, which can be a drawback for those looking for quick insights.
  • Users mention that Torch provides excellent support for real-time processing, making it a preferred choice for applications requiring immediate feedback. However, reviewers say that scikit-learn is more suited for batch processing and offline analysis, which may not meet the needs of all users.
  • Reviewers mention that scikit-learn shines in data preprocessing capabilities, offering a wide range of built-in functions that simplify data handling. In contrast, users report that Torch requires additional libraries for effective data preprocessing, which can complicate workflows.
  • Users on G2 highlight that Torch's customizability is a significant advantage for advanced users who want to fine-tune their models. However, reviewers say that scikit-learn's more standardized approach can be beneficial for users who prefer a straightforward, less customizable experience.
Pricing
Entry-Level Pricing
Torch
No pricing available
scikit-learn
No pricing available
Free Trial
Torch
No trial information available
scikit-learn
No trial information available
Ratings
Meets Requirements
8.9
11
9.6
52
Ease of Use
8.9
11
9.6
52
Ease of Setup
8.1
9
9.6
40
Ease of Admin
8.3
9
9.4
39
Quality of Support
8.1
9
9.4
48
Has the product been a good partner in doing business?
7.8
9
9.2
35
Product Direction (% positive)
8.8
10
9.3
52
Features by Category
Artificial Neural NetworkHide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Torch
Torch
scikit-learn
scikit-learn
Torch and scikit-learn are categorized as Machine Learning
Unique Categories
Torch
Torch is categorized as Artificial Neural Network
scikit-learn
scikit-learn has no unique categories
Reviews
Reviewers' Company Size
Torch
Torch
Small-Business(50 or fewer emp.)
42.9%
Mid-Market(51-1000 emp.)
14.3%
Enterprise(> 1000 emp.)
42.9%
scikit-learn
scikit-learn
Small-Business(50 or fewer emp.)
28.8%
Mid-Market(51-1000 emp.)
30.5%
Enterprise(> 1000 emp.)
40.7%
Reviewers' Industry
Torch
Torch
Computer Software
42.9%
Information Technology and Services
14.3%
Telecommunications
7.1%
Research
7.1%
Mental Health Care
7.1%
Other
21.4%
scikit-learn
scikit-learn
Computer Software
35.6%
Information Technology and Services
16.9%
Higher Education
10.2%
Computer & Network Security
6.8%
Hospital & Health Care
5.1%
Other
25.4%
Most Helpful Reviews
Torch
Torch
Most Helpful Favorable Review
Stanley D.
SD
Stanley D.
Verified User in Computer Software

1. When images belonging to a class are placed inside a folder bearing the class name, Pytorch's data loader automatically uses the folder name as the class label and maps all images inside the folder to the class. 2. Pytorch offer a lot of pre-trained...

Most Helpful Critical Review
Verified User in Information Technology and Services
GI
Verified User in Education Management

Torch requires to be more flexible to compete the market trends.Its rates can be made lower for the frequent users.

scikit-learn
scikit-learn
Most Helpful Favorable Review
RG
Rishab G.
Verified User in Computer Software

Documentation has great explanation and is very easy to implement.

Most Helpful Critical Review
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Discussions
Torch
Torch Discussions
Monty the Mongoose crying
Torch has no discussions with answers
scikit-learn
scikit-learn Discussions
What is Python Scikit learn?
1 comment
rehan a.
RA
It is a library used to implement machine-learning models. Provides vast range of methods to perform data preprocessing, feature selection, and popularly...Read more
Monty the Mongoose crying
scikit-learn has no more discussions with answers