Alternatives

Products that do what I'm Open-Sourcing Graph Attention Network (GAT) PyTorch does

1. 1GP
   Graph Playground - Make Graphs/Networks and run Algorithms▲57

   2017 · mikedombo.github.io

2. 2RA
   RentMyCPU – An open-source computational network▲143

   2021 · github.com

3. 3TR
   Try running deep learning inference on Raspberry Pi▲53

   2018 · actcast.io

4. 4IJ
   I just released Sleek, a Ruby gem for doing simple analytics▲49

   2013 · goshakkk.name

5. 5WB
   we built a graph based task manager▲13

   2022 · masterplan.so

6. 6IW
   I wrote a minimal deep learning library from scratch in Python▲25

   2021 · github.com

7. 7IJ
   I just launched my side-project: Chatter Analytics▲11

   2011 · blog.chatteranalytics.com

8. 8AH
   A Higher-Order Graph Convolutional Layer, NeurIPS 2018 (PyTorch)▲9

   2019 · github.com

9. 9TA
   Torchmtl a pytorch library for multi-task learning▲6

   2020 · github.com

10. 10IO
    I open-sourced the library I use to track ML experiments with GitHub▲5

    2024 · docs.cubyc.com

11. 11RP
    Reimplementing PyTorch from scratch (MLP, CNN) to learn the internals▲5

    Feb 2026 · github.com

12. 12MG
    Mind Graph▲8

    2021 · mind-graph.herokuapp.com

13. 13SS
    Stag, Streaming graphs inside your terminal▲14

    2014 · seenaburns.github.io

14. 14PT
    PyWarm, the functional API to build neural networks for PyTorch▲6

    2019 · github.com

15. 15GF
    Graphlearn-for-PyTorch, distributed graph learning on PyTorch▲9

    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

16. 16IO
    I open-sourced my content analysis tool▲6

    2016 · github.com

17. 17OI
    OpenGraph.io, a simple OpenGraph data parsing API▲11

    2014 · opengraph.io

18. 18CF
    Collaboration for Open Source Project on Graph Algorithms▲7

    2021 · cplusplus.com

19. 19AO
    An open-source megarepo turning hackers into frontier AI researchers▲5

    Hey hackers, the world needs more AI researchers with good taste, and hardcore software folks have some of the best. Many software friends mentioned they learn better from implementations than from papers, but existing open-source examples rarely go beyond basic nanoGPT-level demos. To help bridge that gap, I spent the last two months full-time reimplementing and open-sourcing a self-contained implementation of every major modern deep learning technique from scratch. The result is beyond-nanoGPT, containing 20k+ lines of handcrafted, minimal, and extensively annotated PyTorch code. I'd love…

    2025 · github.com

20. 20IB
    I built an open-source Perplexity▲6

    2024 · omniplex.ai

21. 21GW
    Graph Wavelet Neural Network, ICLR 2019 (PyTorch)▲6

    2019 · github.com

22. 22IA
    InfiniteGPU, An open-source AI compute network,now supporting training▲5

    Jan 2026 · github.com

23. 23IW
    I wrote my first Neural Network▲6

    2017 · github.com

24. 24IM
    I made a GUI for OpenAI's Whisper▲6

    2022 · github.com

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