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Products that do what PyTorch Neural Network Guide does

Build your first neural network with PyTorch step by step.

  1. 1

    Learn PyTorch from scratch with simple examples.

    Aug 2026 · khayyamshah2007.blogspot.com

  2. 2NN
  3. 3
    MakeML274

    Train Neural Networks without a line of code

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  4. 4

    Developer tools for deep learning & machine learning

    2019

  5. 5GF

    Hello HN, We are pleased to introduce you graphlearn-for-pytorch (https://github.com/alibaba/graphlearn-for-pytorch), an open-source distributed graph neural network library based on PyTorch and compatible with PyG. Our library is designed to make it easy for developers to build and train large-scale graph models in a distributed environment. With graphlearn-for-pytorch, you can leverage GPUs to accelerate graph sampling and utilize UVA to reduce the overheads of feature collection. Following a scalable design, graphlearn-for-pytorch supports training GNN models on…

    2023 · github.com

  6. 6CT
  7. 7

    Design and build AI architectures

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  8. 8

    Learn how AI trains neural networks—beginner friendly.

    Jul 2026 · khayyamshah2007.blogspot.com

  9. 9

    The most simple neural network plotter

    2018

  10. 10SA
  11. 11RP
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  13. 13IM

    I’m 15 and self-taught. I'm learning ML from scratch because I want to really understand how things work. I’m not into frameworks. I prefer math, logic, and C++. I implemented a basic MLP that supports different activation and loss functions. It was trained via mini-batch gradient descent. I wrote it from scratch, using no external libraries except Eigen (for linear algebra). I learned how a Neural Network learns (all the math) -- how the forward pass works, and how learning via backpropagation works. How to convert all that math into code. I’ll write a blog soon explaining how MLPs work in…

    2025 · github.com

  14. 14TR
  15. 15TT

    2016 · github.com

  16. 16

    Simple AI guide for beginners

    Jul 2026 · khayyamshah2007.blogspot.com

  17. 17

    Open-source machine learning library by Google

    2018

  18. 18PT
  19. 19MA

    I built a neural network library in golang on an autograd engine. Faster and easy to use like PyTorch. Please give it a try and share your feedback. if you like it, a github star will be appreciated.

    2024 · github.com

  20. 20AV
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  24. 24GA

    I'm starting to implement a barebones version of pytorch in Go. The primary motivation is: 1. I want to better learn Pytorch and how it works so what better way than to just re-implement some of its core features. 2. I write mainly in Go and haven't come across a lot of ML support in Go 3. I'd rather have a Go ML service instead of spinning up additional infrastructure to just support a python ML service in my Go projects 4. Go's static typing, native concurrency (avoid GIL problem in python), efficient memory management, single binary deployment and more make it a better interface compared…

    2024

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