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PyTorch VS GeeksforGeeks

Compare PyTorch VS GeeksforGeeks and see what are their differences

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PyTorch logo PyTorch

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

GeeksforGeeks logo GeeksforGeeks

A computer science portal for geeks
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • GeeksforGeeks Landing page
    Landing page //
    2023-05-07

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

GeeksforGeeks features and specs

  • Comprehensive Content
    GeeksforGeeks offers a vast array of articles, tutorials, and problem sets that cover a wide range of programming languages, algorithms, data structures, and computer science concepts, making it a valuable resource for learners at all levels.
  • Community and Contributions
    The platform allows community contributions, enabling users to share knowledge and solutions, which helps keep the content diverse, up-to-date, and enriched with multiple perspectives.
  • Practice and Learning Tools
    GeeksforGeeks provides ample opportunities for hands-on practice through coding challenges, quizzes, and contests, which help users test and strengthen their coding skills effectively.
  • Interview Preparation
    The website is renowned for its curated content aimed at coding interview preparation, offering exercises and questions that simulate real interview scenarios, particularly for tech companies.

Possible disadvantages of GeeksforGeeks

  • Quality Inconsistency
    Given the community-driven nature of content creation, some articles and solutions may vary in quality, lacking clarity or thoroughness, which can lead to confusion for learners seeking detailed explanations.
  • Advertisement and Clutter
    The presence of numerous ads on the site can be distracting and may disrupt the browsing experience, making it harder for users to focus on the content they intended to study.
  • Navigation and Organization
    Due to the extensive amount of information available, users may find it challenging to navigate or identify specific resources quickly, which can be cumbersome for those new to the platform.
  • Overwhelming for Beginners
    The breadth of advanced topics and large repository of information can be overwhelming for beginners who might struggle to figure out where to start or how to approach their learning journey effectively.

Analysis of PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

Analysis of GeeksforGeeks

Overall verdict

  • Overall, GeeksforGeeks is regarded as a good platform for learning and enhancing technical skills. It provides high-quality, reliable content that is often reviewed and updated by knowledgeable contributors in the field.

Why this product is good

  • GeeksforGeeks is considered a valuable resource for students and professionals interested in programming and computer science. The platform offers a wide range of tutorials, coding problems, and articles that can help individuals understand various concepts in an accessible manner. Additionally, it covers diverse topics across different technical domains and programming languages, which makes it versatile and comprehensive.

Recommended for

  • Students looking to learn programming concepts and algorithms.
  • Software engineers who want to improve their coding skills.
  • Anyone preparing for technical interviews or competitive programming.

PyTorch videos

+ Add

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

GeeksforGeeks videos

+ Add

Geeksforgeeks self paced DSA review | CP | Leetcode

More videos:

  • Tutorial - HOW TO BECOME A PROGRAMMER? | STORY OF SANDEEP JAIN | GEEKSFORGEEKS |FLAWLESS FAILURE |
  • Review - Geeksforgeeks | Aamzon SDE Test Series Review | Faang | CP | Leetcode

Category Popularity

0-100% (relative to PyTorch and GeeksforGeeks)

PyTorch

GeeksforGeeks

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Online Learning
0 0%
Online Learning
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Education
0 0%
Education
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 GeeksforGeeks

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...
Source: www.assemblyai.com
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...
Source: searchbusinessanalytics.techtarget.com

GeeksforGeeks Reviews

LeetCode Alternatives: Top platforms for coding practice
What are LeetCode and LeetCode alternatives good for?LeetCode💡Interested in leveling up your career? Apply to the Formation Fellowship today!ApplyHackerRankCodeSignalAlgoExpertCodewarsGeeksforGeeksEdabitExercismTopCoderShould you use LeetCode for advanced interview prep?Get holistic interview prep with Formation
Source: formation.dev
Top 25 websites for coding challenge and competition [Updated for 2021]
GeeksForGeeks is the website for geeks. It has tons of resources on programming and algorithms. It also has an interview section to help programmers win their dream jobs. There’s also an excellent collection of C and C++ puzzles for programmers to solve.
Source: towardsdatascience.com

Social recommendations and mentions

Based on our record, PyTorch should be more popular than GeeksforGeeks. It has been mentiond 133 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.

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 2 months ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

GeeksforGeeks mentions (24)

  • Slicing with RStudio
    So I have a dataset from source("https://www.openintro.org/data/R/exam_grades.R"). First column is the year(format YEAR-# ie 2000-1 for year 2000 semster 1), then gender in the second column, then actual exam scores in the following 3 columns, then course grade in the last column. I want to separate the data based on the year and semester. I went looking and the closest thing that would let me do it was slicing. ... Source: over 2 years ago
  • My experience of cracking coding interviews (2018)
    Geeksforgeeks.org - A famous computer science portal having everything you need for interview preparation. But in my opinion, the code, methods are not too intuitive and simple, their code has some bugs too. For example, consider this problem, http://bit.do/PetrolPump , the solution is not too intuitive. If you see this solution : http://bit.do/LeetcodePetrolPump. It’s very easy. That’s why I recommend leetcode... - Source: dev.to / over 2 years ago
  • Auto Redirect AMP doesn't work, even from FLAGs
    However, how are you getting these links? Because if I go directly to geeksforgeeks.org in Brave Android and then click on any article, it doesn't give me that type of Google URL. Source: over 2 years ago
  • Should I retake CS106A?
    I would say that just googling/searching on YouTube for a specific topic like recursion, backtracking, binary search tree, etc. Is really good for finding videos and websites that further break down the concepts and teach you tips for how to implement them. geeksforgeeks.org is a really good website that I can think of that helps a lot with understanding the topics in 106B, and general computer science topics and... Source: almost 3 years ago
  • A 4 years dropper, wanting to start a future in IT sector. Having some doubts. Help will be appreciated.
    For practicing algorithms, use any of the freely available websites like https://hackerrank.com https://codechef.com https://projecteuler.net A structured set of practice problems are available at https://www.interviewbit.com/courses/programming/ Avoid https://geeksforgeeks.org because it has a ton of material but very poor quality control. Source: almost 3 years ago
View more

What are some alternatives?

When comparing PyTorch and GeeksforGeeks, 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.

DevToolLab - Collection of free online developer tools for JSON, XML, CSS, and more

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

JSON Formatter & Validator - The JSON Formatter was created to help with debugging.

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

AlgoExpert.io - A better way to prep for tech interviews

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