Aporia vs. Pytorch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Aporia
Score 9.0 out of 10
N/A
Aporia is a machine learning production monitoring platform to build models optimized to individual's cases and data.
$0
per month
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
AporiaPytorch
Editions & Modules
Free
$0
Up to 10K predictions per month
Professional
Custom Pricing
No answers on this topic
Offerings
Pricing Offerings
AporiaPytorch
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
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User Ratings
AporiaPytorch
Likelihood to Recommend
-
(0 ratings)
9.4
(5 ratings)
User Testimonials
AporiaPytorch
Likelihood to Recommend
Aporia
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.
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Pros
Aporia
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.
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Cons
Aporia
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
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Alternatives Considered
Aporia
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.
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Return on Investment
Aporia
No answers on this topic
Open Source
  • I'd estimate I can build a model 50% faster on pytorch vs other frameworks
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