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Compare PyTorch and Torch 
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At a Glance
Market Segments
Small-Business (42.9% of reviews)
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
PyTorch
Star Rating
(22)4.5 out of 5
Market Segments
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about PyTorchTorch
Star Rating
(15)4.4 out of 5
Market Segments
Small-Business (42.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about TorchSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that PyTorch excels in "Neural Network Training" with its dynamic computation graph, allowing for more flexibility during model development, while Torch is noted for its static graph approach, which can be less intuitive for new users.
- Reviewers mention that PyTorch's "Data Preprocessing" capabilities are more robust, with built-in support for various data types and transformations, whereas Torch users have pointed out limitations in handling complex data integration tasks.
- G2 users highlight that PyTorch offers superior "Deep Learning Capabilities," particularly with its extensive library of pre-trained models and support for advanced architectures, while Torch is seen as less comprehensive in this area.
- Users on G2 report that PyTorch's "Visualization Tools" are more user-friendly and integrated, making it easier to debug and understand model performance, compared to Torch, which lacks some of these advanced visualization features.
- Reviewers say that PyTorch's "Automated Model Tuning" features are more advanced, allowing for easier hyperparameter optimization, while Torch users have expressed a need for more automated solutions in this area.
- Users mention that PyTorch's "Quality of Support" is slightly better, with a larger community and more resources available for troubleshooting, while Torch users have noted that support can be less responsive and comprehensive.
Pricing
Entry-Level Pricing
PyTorch
No pricing availableTorch
No pricing availableFree Trial
PyTorch
No trial information availableTorch
No trial information availableRatings
Meets Requirements
9.2
17
8.9
11
Ease of Use
8.6
18
8.9
11
Ease of Setup
Not enough data
8.1
9
Ease of Admin
Not enough data
8.3
9
Quality of Support
7.9
17
8.1
9
Has the product been a good partner in doing business?
Not enough data
7.8
9
Product Direction (% positive)
10.0
17
8.8
10
Features by Category
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
Agentic AI - 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
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
PyTorch and Torch are categorized as Machine Learning and Artificial Neural Network
Unique Categories
PyTorch has no unique categories
Torch has no unique categories
Reviews
Reviewers' Company Size
PyTorch
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Torch
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
28.6%
Research
14.3%
Telecommunications
9.5%
Information Technology and Services
9.5%
Automotive
9.5%
Other
28.6%
Computer Software
42.9%
Information Technology and Services
14.3%
Telecommunications
7.1%
Research
7.1%
Mental Health Care
7.1%
Other
21.4%
Alternatives
Discussions
Do you use Pytorch for? (e.g. NLP, computer vision, reinforcement learning, etc)
1 Comment
IB
All of the paradigms for DeepLearning are supported for development by PyTorch Read more
What can you do with PyTorch?
1 Comment
AG
PyTorch is mostly used to train large ML/DL models.Read more
PyTorch has no more discussions with answers
Torch has no discussions with answers
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