Linking pages
- GitHub - mikeroyal/Self-Hosting-Guide: Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking. https://github.com/mikeroyal/Self-Hosting-Guide 108 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - mikeroyal/Fedora-Guide: Fedora/CentOS Stream/Red Hat Enterprise Linux Guide https://github.com/mikeroyal/Fedora-Guide 30 comments
- Graph Neural Networks - An overview | AI Summer https://theaisummer.com/Graph_Neural_Networks/ 28 comments
- GitHub - mikeroyal/Windows-11-Guide: Windows 10/11 Guide. Including Windows Security tools, Encryption, Graphics, Gaming, Virtualization, Windows Subsystem for Linux (WSL 2), Software Apps, and Resources. https://github.com/mikeroyal/Windows-11-Guide 24 comments
- GitHub - mikeroyal/NixOS-Guide: NixOS Guide. Learn all about the immutable Nix Operating System and the declarative Nix Expression Language. https://github.com/mikeroyal/NixOS-Guide 14 comments
- GitHub - mikeroyal/Pop_OS-Guide: Pop!_OS Guide. Pop!_OS is an Operating System developed by System76. https://github.com/mikeroyal/Pop_OS-Guide 8 comments
- An Illustrated Guide to Graph Neural Networks | by Rishabh Anand | DAIR.AI | Medium https://medium.com/dair-ai/an-illustrated-guide-to-graph-neural-networks-d5564a551783 8 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- GitHub - mikeroyal/Perfect-Ubuntu-Guide: Ubuntu Guide. Learn about getting your Ubuntu Desktop/Server ready for development. Including Ubuntu Security, Graphics (AMD/NVIDIA/Intel ARC), and Software Apps. https://github.com/mikeroyal/Perfect-Ubuntu-Guide 7 comments
- GitHub - mikeroyal/Debian-Guide: Debian Guide https://github.com/mikeroyal/Debian-Guide 5 comments
- GitHub - mikeroyal/SUSE-openSUSE-Guide: SUSE/openSUSE Guide https://github.com/mikeroyal/SUSE-openSUSE-Guide 4 comments
- GitHub - MilesCranmer/symbolic_deep_learning: Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases" https://github.com/MilesCranmer/symbolic_deep_learning 4 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - benedekrozemberczki/pytorch_geometric_temporal: PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021) https://github.com/benedekrozemberczki/pytorch_geometric_temporal 1 comment
- Please allow me to introduce myself: Torch for R | by PyTorch | PyTorch | Medium https://medium.com/pytorch/please-allow-me-to-introduce-myself-torch-for-r-9ea0f361ea7e 1 comment
- GitHub - pykale/pykale: Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem https://github.com/pykale/pykale 0 comments
- GitHub - benedekrozemberczki/SGCN: A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018). https://github.com/benedekrozemberczki/SGCN 0 comments
- GitHub - r0f1/datascience: Curated list of Python resources for data science. https://github.com/r0f1/datascience 0 comments
- GitHub - ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. https://github.com/ritchieng/the-incredible-pytorch 0 comments
Linked pages
- PyTorch http://pytorch.org/ 100 comments
- [1904.12787] Graph Matching Networks for Learning the Similarity of Graph Structured Objects https://arxiv.org/abs/1904.12787 21 comments
- [2004.05718] Principal Neighbourhood Aggregation for Graph Nets https://arxiv.org/abs/2004.05718 6 comments
- Start Locally | PyTorch https://pytorch.org/get-started/locally/ 3 comments
- [1806.01261] Relational inductive biases, deep learning, and graph networks https://arxiv.org/abs/1806.01261 2 comments
- [2010.13993] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks https://arxiv.org/abs/2010.13993 1 comment
- Geometric Deep Learning - Grids, Groups, Graphs, Geodesics, and Gauges http://geometricdeeplearning.com/ 0 comments
- [1809.10341] Deep Graph Infomax https://arxiv.org/abs/1809.10341 0 comments
- [1511.06391] Order Matters: Sequence to sequence for sets http://arxiv.org/abs/1511.06391 0 comments
- GitHub - deepmind/graph_nets: Build Graph Nets in Tensorflow https://github.com/deepmind/graph_nets 0 comments
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