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PyTorch pros and cons

Vendor: PyTorch

4.3 out of 5

12 reviews
100% willing to recommend

Pros & Cons summary

PyTorch offers a user-friendly, pythonic approach, making it ideal for AIML projects and beginners. It excels with multiple GPUs and holds credibility in research. However, limited documentation and version incompatibilities can hinder usage. Stability issues arise with large data, and the need for faster training and better learning resources persists. Despite these challenges, PyTorch remains an efficient choice due to its ease of installation and setup.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

PyTorch follows Pythonic principles, making it user-friendly and easy to use.

It is gaining credibility in the research space, with increasing examples of research papers using it.

The framework is scalable, capable of using multiple GPUs efficiently.

It is reliable, secure, and allows the development of AIML projects efficiently.

The initial setup phase is easy and it is fairly easy for beginners to learn.

CONS

Documentation on some methods and parameters is insufficient, making it challenging to find information.

The training of models could be faster.

There are stability issues when using large datasets and various modeling techniques.

Version incompatibility issues lead to breakdowns when frequently changing versions.

Analyzing and latency of compiling could be improved for better performance.

PyTorch Pros review quotes

reviewer2384079

Data Scientist. at a computer software company with 501-1,000 employees

Mar 27, 2024

It's been pretty scalable in terms of using multiple GPUs.

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Murali Mallikarjuna Perumalla

Data Scientist at a tech services company with 201-500 employees

May 29, 2024

The product's initial setup phase is easy.

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reviewer2514822

Associate Machine Learning Engineer at a tech services company with 501-1,000 employees

Jul 15, 2024

For me, the product's initial setup phase is easy...For beginners, it is fairly easy to learn.

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reviewer1508772

Associate Data Analyst at a financial services firm with 10,001+ employees

Apr 16, 2021

I like that PyTorch actually follows the pythonic way, and I feel that it's quite easy. It's easy to find compared to others who require us to type a long paragraph of code.

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Co-Founder at Afriziki

Nov 27, 2023

yTorch is gaining credibility in the research space, it's becoming easier to find examples of papers that use PyTorch. This is an advantage for someone who uses PyTorch primarily.

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Financial Analyst 4 (Supply Chain & Financial Analytics) at Juniper Networks

Mar 28, 2024

The tool is very user-friendly.

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Karthikeyan Katkam

AWS Engineer at Neurolov.ai

Nov 18, 2024

I like PyTorch's scalability.

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TS

Machine Learning Engineer at IIIT Kottayam

Nov 29, 2024

PyTorch allows me to build my projects from scratch.

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reviewer1455297

Freelance AI Engineer at a tech services company with self employed

Nov 17, 2020

Its interface is the most valuable. The ability to have an interface to train machine learning models and construct them with the high-level interface, without excess busting and reconstructing the same technical elements, is very useful.

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Praveen Kumar Tiwari

Team Lead at Tech Mahindra Limited

May 28, 2024

It’s reliable, secure and user-friendly. It allows you to develop any AIML project efficiently. PySearch is the best option for developing any project in the AIML domain. The product is easy to install.

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PyTorch Cons review quotes

reviewer2384079

Data Scientist. at a computer software company with 501-1,000 employees

Mar 27, 2024

PyTorch could make certain things more obvious. Even though it does make things like defining loss functions and calculating gradients in backward propagation clear, these concepts may confuse beginners. We find that it's kind of problematic. Despite having methods called on loss functions during backward passes, the oral documentation for beginners is quite complex.

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Murali Mallikarjuna Perumalla

Data Scientist at a tech services company with 201-500 employees

May 29, 2024

The product has certain shortcomings in the automation of machine learning.

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reviewer2514822

Associate Machine Learning Engineer at a tech services company with 501-1,000 employees

Jul 15, 2024

The product has breakdowns when we change the versions a lot.

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Free Report: PyTorch Reviews and More

Learn what your peers think about PyTorch. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.

824,067 professionals have used our research since 2012.

reviewer1508772

Associate Data Analyst at a financial services firm with 10,001+ employees

Apr 16, 2021

I would like a model to be available. I think Google recently released a new version of EfficientNet. It's a really good classifier, and a PyTorch implementation would be nice.

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Co-Founder at Afriziki

Nov 27, 2023

On the production side of things, having more frameworks would be helpful.

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Financial Analyst 4 (Supply Chain & Financial Analytics) at Juniper Networks

Mar 28, 2024

I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques.

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Karthikeyan Katkam

AWS Engineer at Neurolov.ai

Nov 18, 2024

The analyzing and latency of compiling could be improved to provide enhanced results.

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TS

Machine Learning Engineer at IIIT Kottayam

Nov 29, 2024

I do not have any complaints.

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reviewer1455297

Freelance AI Engineer at a tech services company with self employed

Nov 17, 2020

There is not enough documentation about some methods and parameters. It is sometimes difficult to find information.

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Praveen Kumar Tiwari

Team Lead at Tech Mahindra Limited

May 28, 2024

I would like to see better learning documents.

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Show 2 more reviews (out of 12)

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