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Paperspace

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PyTorch vs Paperspace: What are the differences?

Developers describe PyTorch as "A deep learning framework that puts Python first". PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc. On the other hand, Paperspace is detailed as "The way to access and manage limitless computing power in the cloud". It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.

PyTorch and Paperspace can be primarily classified as "Machine Learning" tools.

PyTorch is an open source tool with 31.6K GitHub stars and 7.77K GitHub forks. Here's a link to PyTorch's open source repository on GitHub.

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Pros of Paperspace
Pros of PyTorch
    Be the first to leave a pro
    • 15
      Easy to use
    • 11
      Developer Friendly
    • 10
      Easy to debug
    • 7
      Sometimes faster than TensorFlow

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    Cons of Paperspace
    Cons of PyTorch
      Be the first to leave a con
      • 3
        Lots of code
      • 1
        It eats poop

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      - No public GitHub repository available -

      What is Paperspace?

      It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.

      What is PyTorch?

      PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Paperspace?
      What companies use PyTorch?
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        What tools integrate with Paperspace?
        What tools integrate with PyTorch?

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        What are some alternatives to Paperspace and PyTorch?
        FloydHub
        Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.
        TensorFlow
        TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
        scikit-learn
        scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
        Keras
        Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
        CUDA
        A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
        See all alternatives