Software Alternatives & Reviews

PyTorch VS Google Sheets + MonkeyLearn

Compare PyTorch VS Google Sheets + MonkeyLearn and see what are their differences

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...

Google Sheets + MonkeyLearn logo Google Sheets + MonkeyLearn

Power up your Google Sheets with text analysis
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • Google Sheets + MonkeyLearn Landing page
    Landing page //
    2021-10-21

PyTorch videos

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Google Sheets + MonkeyLearn videos

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Category Popularity

0-100% (relative to PyTorch and Google Sheets + MonkeyLearn)
Data Science And Machine Learning
Productivity
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100% 100
Data Science Tools
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0% 0
Analytics
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100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare PyTorch and Google Sheets + MonkeyLearn

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...

Google Sheets + MonkeyLearn Reviews

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Social recommendations and mentions

Based on our record, PyTorch seems to be a lot more popular than Google Sheets + MonkeyLearn. While we know about 106 links to PyTorch, we've tracked only 1 mention of Google Sheets + MonkeyLearn. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

PyTorch mentions (106)

  • My Favorite DevTools to Build AI/ML Applications!
    TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / 12 days ago
  • Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch
    *My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / about 2 months ago
  • Building a GPT Model from the Ground Up!
    Import torch # we use PyTorch: https://pytorch.org Data = torch.tensor(encode(text), dtype=torch.long) Print(data.shape, data.dtype) Print(data[:1000]) # the 1000 characters we looked at earlier will to the GPT look like this. - Source: dev.to / 2 months ago
  • Open Source Ascendant: The Transformation of Software Development in 2024
    AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries. - Source: dev.to / about 2 months ago
  • Best AI Tools for Students Learning Development and Engineering
    Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework. - Source: dev.to / about 2 months ago
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Google Sheets + MonkeyLearn mentions (1)

  • Best 10 AI Tools for Google Sheets (2023)
    MonkeyLearn: MonkeyLearn is a powerful AI tool that automates text tagging in Google Sheets, eliminating manual and repetitive tasks. It is 100 times faster than human processing, significantly saving time, and 50 times more cost-effective. With MonkeyLearn, users can ensure consistent tagging criteria without errors, enabling efficient analysis of spreadsheets and faster insights from data. It offers direct... Source: 12 months ago

What are some alternatives?

When comparing PyTorch and Google Sheets + MonkeyLearn, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Flookup - Fuzzy lookup, highlight and remove duplicates from your datasets

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Textalytic - Free point & click text analysis in the browser

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Causal for Google Sheets - Simulate 100s of scenarios without leaving your spreadsheet