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PyTorch

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

PyTorch Reviews and details

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

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Videos

PyTorch in 5 Minutes

Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips

PyTorch at Tesla - Andrej Karpathy, Tesla

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about PyTorch and what they use it for.
  • 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 / 1 day 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 / 10 days ago
  • Clusters Are Cattle Until You Deploy Ingress
    Oddly enough, sometimes, the best way to learn is by putting forth incorrect opinions or questions. Recently, while wrestling with AI project complexities, I pondered aloud whether all Docker images with AI models would inevitably be bulky due to PyTorch dependencies. To my surprise, this sparked many helpful responses, offering insights into optimizing image sizes. Being willing to be wrong opens up avenues for... - Source: dev.to / 3 days ago
  • 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 / about 1 month 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 / 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 / 3 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 / 3 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 / 3 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In PyTorch with * or mul(). ` or mul()` can multiply 0D or more D tensors by element-wise multiplication:. - Source: dev.to / 3 months ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    PyTorch: An open-source deep learning framework that facilitates dynamic computational graphs, making it flexible and efficient for research and production. - Source: dev.to / 3 months ago
  • How To Implement Data Streaming In PyTorch From A Remote Database
    In this blog post, we will go through a full example and setup a data stream to PyTorch from a playground dataset on a remote database. - Source: dev.to / 5 months ago
  • Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
    This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX. - Source: dev.to / 6 months ago
  • Apple releases MLX for Apple Silicon
    The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire. Source: 6 months ago
  • Comfy-Ui Manager Stopped Working 2 Hours ago!?
    If you go to https://pytorch.org/, you can choose an installation script tailored to your environment. Source: 6 months ago
  • From Lab to Live: Implementing Open-Source AI Models for Real-Time Unsupervised Anomaly Detection in Images
    Sample config files are available in the repo, and it lets you set the paths of the folders containing your pictures for training and testing. Then, once your model is trained and validated, you can use the inference script to test it under simulated conditions on a single image or a folder of images. For example, with PyTorch, you can run the inference script as follows:. - Source: dev.to / 8 months ago
  • Guide to Install Fooocus with an AMD GPU (on Linux) v1.0
    Now install the appropriate version of torch for your installed rocm from https://pytorch.org/ (again, we are still in the original terminal and in the activated venv). Torch/Rocm will be installed:. Source: 8 months ago
  • Godly – Astronomically good web design inspiration
    Https://cmocka.org is quite the collection of contrast errors and botched accessibility properties in only one page. https://pytorch.org is not much better. Neither form nor function in my personal opinion... If I am going to be swayed that Obys' Grids[0] is bad, you better be comparing it to W3.org[1][2][3] or something.................................................. [0]: https://grids.obys.agency/ [1]:... - Source: Hacker News / 9 months ago
  • Godly – Astronomically good web design inspiration
    Given how popular they are, these modern designs must appeal to someone, but personally I find them really bad. It's pure form over function with the huge text that reduces my 24" monitor to the information density of a phone and the annoying fade-ins that interfere with quickly skimming the page. This kind of webpage makes me immediately suspicious. I find these landing pages much better:... - Source: Hacker News / 9 months ago
  • What should I learn next? Mention anything
    Pytorch https://pytorch.org/ if you are into AI/ML. Source: 11 months ago
  • How can I set max_split_size_mb to avoid fragmentation in Pytorch?
    PyTorch, a popular deep learning framework, has revolutionized the field of artificial intelligence by providing a flexible and efficient platform for developing cutting-edge models. However, memory management becomes a critical concern as models become increasingly complex and datasets grow. One specific challenge is memory fragmentation, which can significantly impact PyTorch’s performance and limit its ability... - Source: dev.to / 11 months ago
  • How popular are libraries in each technology
    Mobile app development is the process of creating applications for mobile devices such as smartphones and tablets. There are many mobile app libraries and languages available, but the most popular by far is Flutter. Flutter is a mobile app development framework developed by Google that enables developers to build high-performance, high-fidelity, apps for iOS and Android from a single codebase. It has over 154k... - Source: dev.to / 12 months ago

External sources with reviews and comparisons of PyTorch

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.
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.
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 developers to experiment with different deep...
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 the water. Almost 85% of models are...
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 versa.

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PyTorch discussion

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  1. User avatar
    ldenoue
    · 9 months ago
    · Reply

    PyTorch is just the best developer experience for developing AI stacks.

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