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Pytorch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Pytorch
Score 9.3 out of 10
N/A
Pytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.N/A
Pricing
Pytorch
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Pricing Offerings
Pytorch
Free Trial
No
Free/Freemium Version
No
Premium Consulting/Integration Services
No
Entry-level Setup FeeNo setup fee
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Community Pulse
Pytorch
Considered Both Products
Pytorch
Verified User
Engineer
Chose Pytorch
Saving and loading Machine/Deep Learning models is very easy with Pytorch. It provides visualization capabilities when combined with Tensorboard, and mathematical operations are highly optimized. Easy to understand for a person who is an expert in Python. It takes significantly …
Verified User
Employee
Chose Pytorch
Pytorch is very, very simple compared to TensorFlow. Simple to install, less dependency issues, and very small learning curve. TensorFlow is very much optimised for robust deployment but very complicated to train simple models and play around with the loss functions. It needs a …
Verified User
Team Lead
Chose Pytorch
As I described in previous statements, Pytorch is much better suited than TensorFlow from a software development look. This Pythonic idea was then taken and repeated by all the other frameworks.

You can get to better performance models by better understanding the deep learning …
Verified User
Engineer
Chose Pytorch
The syntax of PyTorch is much better in my opinion, and the programming style is more pythonic and easier to use. I also think PyTorch is a lot easier to debug than the competitors I've listed (Caffe2 and TensorFlow). I do like some of the examples given on tensorflows website, …
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User Ratings
Pytorch
Likelihood to Recommend
9.4
(5 ratings)
User Testimonials
Pytorch
Likelihood to Recommend
Open Source
They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch.
Verified User
Anonymous
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Pros
Open Source
  • Provides Benchmark datasets to test your custom algorithm
  • Provides with a lot of pre-coded neural net components to use for your flow
  • Gives a framework to write really abstract code.
Taapas Agrawal | TrustRadius Reviewer
Taapas Agrawal
Research Intern
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Cons
Open Source
  • Distributed data parallel still seems to be complicated
  • Support for easy deployment to servers
  • Torchvision to have support for latest models with pertained weights
Verified User
Anonymous
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Alternatives Considered
Open Source
As I described in previous statements, Pytorch is much better suited than TensorFlow from a software development look. This Pythonic idea was then taken and repeated by all the other frameworks. You can get to better performance models by better understanding the deep learning model code, so I think the choice of Pytorch is easy and simple.
Verified User
Anonymous
Read full review
Return on Investment
Open Source
  • I'd estimate I can build a model 50% faster on pytorch vs other frameworks
Verified User
Anonymous
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