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C++ VS PyTorch

Compare C++ VS PyTorch and see what are their differences

C++ logo C++

Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • C++ Landing page
    Landing page //
    2023-08-01

We recommend LibHunt C++ for discovery and comparisons of trending C++ projects.

  • PyTorch Landing page
    Landing page //
    2023-07-15

C++ videos

C++ Programming | In One Video

More videos:

  • Review - C++ Programming
  • Tutorial - C++ Tutorial for Beginners - Full Course

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

Category Popularity

0-100% (relative to C++ and PyTorch)
Programming Language
100 100%
0% 0
Data Science And Machine Learning
OOP
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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

C++ Reviews

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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...

Social recommendations and mentions

Based on our record, PyTorch should be more popular than C++. It has been mentiond 112 times since March 2021. 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.

C++ mentions (56)

  • Distributed Systems: Challenges, Experiences and Tips
    About 4 months ago (approximately the last time I wrote something here), I opted to embark on a graduate school journey at Stony Brook University, Computer Science (if you have a remote position — Technical Writer and/or Software Engineer position — at a non-USA company, don't hesitate to reach out). Was it the best decision to make considering less pay (if any), more theoretical undertakings and assumptions, and... - Source: dev.to / 6 months ago
  • Any opinion about tutorialspoint? Getting apparently wrong results
    Full of wrong and/or incomplete information. I prefer cplusplus.com when I need to look up some library details. Source: 12 months ago
  • Learning DSA from scratch : The Ultimate Guide
    For C++ I would suggest using cplusplus.com. Fantastic resource to use. Source: about 1 year ago
  • Things that i should know before gettting into Data Structures and Algorithms??
    C++ was far from my first language. I took Modula-2 and FORTRAN in school. I knew about pointers, linked lists, etc before writing my first line of C++. I think the best way to learn is just to work on projects that interest you. Get familiar with online resources. I like cplusplus.com and cppreference.com (can get a little verbose). I'm also a big fan of w3schools.com. They have a good C++ tutorial for beginners. Source: about 1 year ago
  • Help
    I second this. cplusplus.com will pop up on your searches, I just blocked it. Loaded with ads and slow, and almost always less thorough than cppreference. I found geeksforgeeks OK when learning algorithms - not so much the language itself though. Source: about 1 year ago
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PyTorch mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 17 days ago
  • Mathematics secret behind AI on Digit Recognition
    Hi everyone! I’m devloker, and today I’m excited to share a project I’ve been working on: a digit recognition system implemented using pure math functions in Python. This project aims to help beginners grasp the mathematics behind AI and digit recognition without relying on high-level libraries like TensorFlow or PyTorch. You can find the complete code on my GitHub repository. - Source: dev.to / 16 days ago
  • Awesome List
    PyTorch - An open source machine learning framework. PyTorch Tutorials - Tutorials and documentation. - Source: dev.to / 23 days ago
  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / about 1 month ago
  • Building a Simple Chatbot using GPT model - part 2
    PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / about 1 month ago
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What are some alternatives?

When comparing C++ and PyTorch, you can also consider the following products

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

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.

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

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

D (Programming Language) - D is a language with C-like syntax and static typing.

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