Neuton.AI vs. Pytorch

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Neuton.AI
Score 0.0 out of 10
N/A
The world is about to get way more digitized as the demand for AI is booming. However, the implementation of such revolutionary technologies requires the laborious and time-consuming efforts of data scientists and not all companies are ready to spend that much time and financial resources on that. So Neuton.AI aims to help democratize AI tools and make them available for a mass user without any data science expertise at all. After analyzing the best data science practices, the…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
Neuton.AIPytorch
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
Neuton.AIPytorch
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
Neuton.AIPytorch
Small Businesses
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
InterSystems IRIS
InterSystems IRIS
Score 8.0 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
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Score 10.0 out of 10
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Score 10.0 out of 10
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User Ratings
Neuton.AIPytorch
Likelihood to Recommend
-
(0 ratings)
9.0
(6 ratings)
Usability
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Neuton.AIPytorch
Likelihood to Recommend
Neuton.AI
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
Neuton.AI
No answers on this topic
Open Source
  • flexibility
  • Clean code, close to the algorithm.
  • Fast
  • Handles GPUs, multiple GPUs on a single machine, CPUs, and Mac.
  • Versatile, can work efficiently on text/audio/image/tabular datasets.
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Cons
Neuton.AI
No answers on this topic
Open Source
  • Since pythonic if developing an app with pytorch as backend the response can be substantially slow and support is less compares to Tensorflow
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Usability
Neuton.AI
No answers on this topic
Open Source
The big advantage of PyTorch is how close it is to the algorithm. Oftentimes, it is easier to read Pytorch code than a given paper directly. I particularly like the object-oriented approach in model definition; it makes things very clean and easy to teach to software engineers.
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Alternatives Considered
Neuton.AI
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Open Source
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 lot of juggling around with the documentation. The research community also prefers PyTorch, so it becomes easy to find solutions to most of the problems. Keras is very simple and good for learning ML / DL. But when going deep into research or building some product that requires a lot of tweaks and experimentation, Keras is not suitable for that. May be good for proving some hypotheses but not good for rigorous experimentation with complex models.
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Return on Investment
Neuton.AI
No answers on this topic
Open Source
  • The ability to make models as never before
  • Being able to control the bias of models was not done before the arrival of Pytorch in our company
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ScreenShots

Neuton.AI Screenshots

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