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Caffe2 vs. Pytorch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Caffe2
Score 5.0 out of 10
N/A
Caffe2 is a lightweight deep learning framework from Facebook Open Source.N/A
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
Caffe2Pytorch
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Caffe2Pytorch
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Caffe2Pytorch
Considered Both Products
Caffe2

No answer on this topic

Pytorch
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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Caffe2Pytorch
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Score 9.1 out of 10
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User Ratings
Caffe2Pytorch
Likelihood to Recommend
-
(0 ratings)
9.4
(5 ratings)
User Testimonials
Caffe2Pytorch
Likelihood to Recommend
Open Source
No answers on this topic
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
No answers on this topic
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
No answers on this topic
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
No answers on this topic
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
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Return on Investment
Open Source
No answers on this topic
Open Source
  • I'd estimate I can build a model 50% faster on pytorch vs other frameworks
Verified User
Anonymous
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