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PyTorch VS Exist

Compare PyTorch VS Exist and see what are their differences

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  3. » Reviews
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PyTorch logo PyTorch

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

Exist logo Exist

Track everything in one place, understand your life.
  • PyTorch Landing page
    Landing page //
    2023-07-15
  • Exist Landing page
    Landing page //
    2022-07-19

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.

Exist features and specs

  • Comprehensive Data Integration
    Exist integrates data from various services such as fitness trackers, social media, sleep monitors, and more, allowing for a wide range of data collection and analysis.
  • Personal Insights
    It provides personalized insights and correlations based on the data collected, helping users to better understand their habits and improve their lifestyle.
  • Custom Tracking
    Users can create custom tags to track specific activities or behaviors that are important to them, offering a high degree of personalization.
  • API Access
    Exist offers an API, enabling users to create custom integrations and extend the platform's functionality.
  • Mobile App Availability
    Exist is available as a mobile app, making it easy for users to input and check their data on the go.

Possible disadvantages of Exist

  • Subscription Cost
    Exist requires a paid subscription after the initial trial period, which may be a barrier for some users.
  • Privacy Concerns
    Collecting and integrating a wide range of personal data can raise privacy concerns, especially if the service is ever compromised.
  • Data Overload
    The sheer amount of data available can be overwhelming for some users, making it challenging to identify the most relevant insights.
  • Learning Curve
    New users may face a learning curve as they try to navigate the platform and make the best use of its features.
  • Limited Free Features
    The free version offers limited functionality, which may not be sufficient for users looking to fully explore the platform before committing to a subscription.

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

Exist videos

+ Add

Exist - Board Game Review

More videos:

  • Review - Exist Review
  • Review - Daiwa Exist Spinning Reel [Review & Unboxing]

Category Popularity

0-100% (relative to PyTorch and Exist)

PyTorch

Exist

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Habit Building
0 0%
Habit Building
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Productivity
0 0%
Productivity
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 Exist

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

Exist Reviews

We have no reviews of Exist yet.
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Social recommendations and mentions

Based on our record, PyTorch should be more popular than Exist. 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 / 12 days 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 / 25 days 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 / about 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 / 3 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 / 3 months ago
View more

Exist mentions (43)

  • Apple courier may have stolen 2 MacBooks, () Apple is not going to help
    As someone who has been on and off the Degoogle train (I ran full LineageOS without Google Play at one point) and is now pretty deep in iOS territory, I'd say the main thing for me has been email. I've used https://www.fastmail.com for a great deal of years now, which is also home to my calendar as well so there's nothing much of value tied to my Google account. YouTube subscriptions would be annoying to lose but... - Source: Hacker News / 6 months ago
  • Ask HN: Tell us about your project that's not done yet but you want feedback on
    You may want to look into https://exist.io/. It's a very indie developer duo out of Australia (IIRC). And also IIRC they were looking for a buyer on Twitter some time ago. - Source: Hacker News / almost 2 years ago
  • Ask HN: Anyone using or working on a life dashboard?
    I have used this previously when tracking health metrics and I couldn't much else that had integrations. https://exist.io/. - Source: Hacker News / almost 2 years ago
  • Tracking Apps
    Hey guys, thinking of tracking wellness metrics such as sleep water intake etc to a dashboard/app. The main tools I have found are Exist.io, Gyrosco.pe, and conjure.so. For those of you who have tried them I would love to know what are the pros and cons with each one? Or if you have any better ones any help is greatly appreciated! Source: almost 2 years ago
  • Best apps to use
    Hey guys, thinking of transporting my quantified self journey to a dashboard/app. The main tools I have found are Exist.io, Gyrosco.pe, and conjure.so. For those of you who have tried them I would love to know what are the pros and cons with each one? Source: almost 2 years ago
View more

What are some alternatives?

When comparing PyTorch and Exist, 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.

Gyroscope - Gyroscope is a personalized dashboard for tracking your life.

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

Habitica - Habitica is a free habit building and productivity application.

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

HabitBull - HabitBull

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