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AI · alternatives · 2026

24 alternatives to Graph Wavelet Neural Network, ICLR 2019 (PyTorch)

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019) - benedekrozemberczki/GraphWaveletNeuralNetwork

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Graph Wavelet Neural Network, ICLR 2019 (PyTorch) launched in 2019; newer entries below may have overtaken it.

  1. 1

    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 · its alternatives →

  2. 2

    The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

    2020 · github.com · its alternatives →

  3. 3GC

    Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...

    2016 · tkipf.github.io · its alternatives →

  4. 4

    A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  5. 5AV

    Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

    2016 · jalammar.github.io · its alternatives →

  6. 6

    An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019). - benedekrozemberczki/MixHop-and-N-GCN

    2019 · github.com · its alternatives →

  7. 7

    A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go

    2017 · github.com · its alternatives →

  8. 8

    An online course on how to detect objects in real time

    2019 · lode88vn.skin · its alternatives →

  9. 9

    The most simple neural network plotter

    2018 · github.com · its alternatives →

  10. 10

    Research Framework for easy and efficient training of GANs based on Pytorch - torchgan/torchgan

    2018 · github.com · its alternatives →

  11. 11

    AI code editor for PyTorch development on GPU workspaces

    Oct 2025 · lightning.ai · its alternatives →

  12. 12

    The light PyTorch wrapper for high-performance AI research

    2020 · pytorchlightning.ai · its alternatives →

  13. 13

    PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021) - benedekrozemberczki/pytorch_geometric_temporal

    2021 · github.com · its alternatives →

  14. 14

    A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017). - benedekrozemberczki/graph2vec

    2019 · github.com · its alternatives →

  15. 15

    I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…

    2023 · github.com · its alternatives →

  16. 16

    Minimum Description Length Recurrent Neural Networks (MDLRNNs) in PyTorch - 0xnurl/mdlrnn-torch

    2023 · github.com · its alternatives →

  17. 17

    Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel

    2017 · github.com · its alternatives →

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  19. 19

    Tool which allow you to detect and translate text. - s3nh/text-detector

    2019 · github.com · its alternatives →

  20. 20

    Trains a Hopfield recurrent neural network to recognize colors and uses it to interpret images. - mateogianolio/hopfield-colors

    2015 · github.com · its alternatives →

  21. 21

    Neural network OCR. Contribute to mateogianolio/ocr development by creating an account on GitHub.

    2015 · github.com · its alternatives →

  22. 22

    Fresh and (I think) clean implementations of Faster R-CNN in PyTorch and TensorFlow 2/Keras. I wanted to learn about object detectors and decided to understand and implement a foundational model in the field, Faster R-CNN (elements of which are still used in modern models to this day), using the paper alone. That proved to be more difficult than expected and I had to relent and take a peak at existing implementations to fill in some important gaps. I've documented my struggles and learnings in the README for others to benefit from. I also wanted to solidify my understanding of…

    2022 · github.com · its alternatives →

  23. 23

    Implement classic neural networks from scratch without using nn.Module, to deeply understand PyTorch and model principles. - geyuxu/nn-from-scratch

    Feb 2026 · github.com · its alternatives →

  24. 24

    I made this tool to get some better intuition on how neural networks/backpropagation worked, but I'm really unsure what to do with it now, so I've put it up on github, and I wrote a little primer on backprop and neural networks to showcase it. Really curious to hear any thoughts you might have, or anything I got wrong in the write up!

    2024 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →